Triple

T2939388
Position Surface form Disambiguated ID Type / Status
Subject Southeast Texas E79346 entity
Predicate includesMetropolitanArea P5047 FINISHED
Object Beaumont–Port Arthur metropolitan area
The Beaumont–Port Arthur metropolitan area is an industrial and port-centered region in Southeast Texas known for its petrochemical complexes, shipping facilities, and role in the Gulf Coast energy economy.
E311224 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Beaumont–Port Arthur metropolitan area | Statement: [Southeast Texas, includesMetropolitanArea, Beaumont–Port Arthur metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaumont–Port Arthur metropolitan area
Context triple: [Southeast Texas, includesMetropolitanArea, Beaumont–Port Arthur metropolitan area]
  • A. Bryan–College Station metropolitan area
    The Bryan–College Station metropolitan area is a regional urban hub in East-Central Texas centered around the twin cities of Bryan and College Station, home to Texas A&M University and a growing economy in education, research, and healthcare.
  • B. Corpus Christi metropolitan area
    The Corpus Christi metropolitan area is a coastal urban region in South Texas centered on the city of Corpus Christi, known for its port, petrochemical industry, and tourism along the Gulf of Mexico.
  • C. Houston–The Woodlands–Sugar Land metropolitan area
    The Houston–The Woodlands–Sugar Land metropolitan area is a major U.S. urban region in Southeast Texas centered on Houston, known for its large and diverse population, energy and aerospace industries, and significant economic and cultural influence.
  • D. Beaumont, Texas
    Beaumont, Texas is an industrial and cultural city in Southeast Texas near the Gulf Coast, known for its oil history and role as a regional education and commerce hub.
  • E. Abilene metropolitan area
    The Abilene metropolitan area is a regional urban hub in west-central Texas centered on the city of Abilene, known for its military presence, higher education institutions, and role as an economic and cultural center for the surrounding rural counties.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Beaumont–Port Arthur metropolitan area
Triple: [Southeast Texas, includesMetropolitanArea, Beaumont–Port Arthur metropolitan area]
Generated description
The Beaumont–Port Arthur metropolitan area is an industrial and port-centered region in Southeast Texas known for its petrochemical complexes, shipping facilities, and role in the Gulf Coast energy economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beaumont–Port Arthur metropolitan area
Target entity description: The Beaumont–Port Arthur metropolitan area is an industrial and port-centered region in Southeast Texas known for its petrochemical complexes, shipping facilities, and role in the Gulf Coast energy economy.
  • A. Bryan–College Station metropolitan area
    The Bryan–College Station metropolitan area is a regional urban hub in East-Central Texas centered around the twin cities of Bryan and College Station, home to Texas A&M University and a growing economy in education, research, and healthcare.
  • B. Corpus Christi metropolitan area
    The Corpus Christi metropolitan area is a coastal urban region in South Texas centered on the city of Corpus Christi, known for its port, petrochemical industry, and tourism along the Gulf of Mexico.
  • C. Houston–The Woodlands–Sugar Land metropolitan area
    The Houston–The Woodlands–Sugar Land metropolitan area is a major U.S. urban region in Southeast Texas centered on Houston, known for its large and diverse population, energy and aerospace industries, and significant economic and cultural influence.
  • D. Beaumont, Texas
    Beaumont, Texas is an industrial and cultural city in Southeast Texas near the Gulf Coast, known for its oil history and role as a regional education and commerce hub.
  • E. Abilene metropolitan area
    The Abilene metropolitan area is a regional urban hub in west-central Texas centered on the city of Abilene, known for its military presence, higher education institutions, and role as an economic and cultural center for the surrounding rural counties.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986d9a248190927efc1a0c7d247f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08686b0388190a214ad8a615f2da5 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d312b82c81908abbb005560b89a0 completed March 11, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69b0d392b8cc8190804a1bf06785d7d0 completed March 11, 2026, 2:29 a.m.
Created at: March 8, 2026, 2:56 p.m.