Triple

T1088865
Position Surface form Disambiguated ID Type / Status
Subject Lander County E24114 entity
Predicate contains P35 FINISHED
Object Austin
Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
E370644 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: Austin | Statement: [Lander County, contains, Austin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austin
Context triple: [Lander County, contains, Austin]
  • A. Austin
    Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
  • B. Dallas
    Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
  • C. Dallas
    Dallas is the early series of United States Supreme Court case reports compiled by Alexander J. Dallas, covering decisions from the late 18th century before the official U.S. Reports numbering began.
  • D. Houston
    Houston is a major U.S. metropolis known for its energy industry, NASA’s Johnson Space Center, and its diverse, rapidly growing population.
  • E. San Antonio
    San Antonio is a major Chilean port city known for its significant role in the country’s maritime trade and fishing industries.
  • 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: Austin
Triple: [Lander County, contains, Austin]
Generated description
Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Austin
Target entity description: Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
  • A. Austin
    Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
  • B. Dallas
    Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
  • C. Dallas
    Dallas is the early series of United States Supreme Court case reports compiled by Alexander J. Dallas, covering decisions from the late 18th century before the official U.S. Reports numbering began.
  • D. Houston
    Houston is a major U.S. metropolis known for its energy industry, NASA’s Johnson Space Center, and its diverse, rapidly growing population.
  • E. San Antonio
    San Antonio is a barangay in the municipality of Los Baños in the province of Laguna, Philippines.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97d85708190a1630256648aa4a2 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b40291ebb481908e470fc9c2241e99 completed March 13, 2026, 12:26 p.m.
NEDg Description generation batch_69b40660a02c8190b142d16600c3b221 completed March 13, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_69b4086ab034819086c5fa7d4b172d75 completed March 13, 2026, 12:51 p.m.
Created at: March 1, 2026, 7:42 p.m.