Triple

T2595684
Position Surface form Disambiguated ID Type / Status
Subject Lea County E58223 entity
Predicate containsTown P847 FINISHED
Object Jal
Jal is a small city in southeastern New Mexico known for its roots in the oil and gas industry within Lea County.
 E281784 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: Jal | Statement: [Lea County, containsTown, Jal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jal
Context triple: [Lea County, containsTown, Jal]
  • A. Jalhay
    Jalhay is a municipality in the province of Liège in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
  • B. Jilava
    Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
  • C. Jala
    Jala is a municipality and town in the Mexican state of Nayarit, known for its agricultural traditions and proximity to the Ceboruco volcano.
  • D. Jale
    Jale is a town located in the Darbhanga district of the Indian state of Bihar.
  • E. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • 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: Jal
Triple: [Lea County, containsTown, Jal]
Generated description
Jal is a small city in southeastern New Mexico known for its roots in the oil and gas industry within Lea County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jal
Target entity description: Jal is a small city in southeastern New Mexico known for its roots in the oil and gas industry within Lea County.
  • A. Jalhay
    Jalhay is a municipality in the province of Liège in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
  • B. Jilava
    Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
  • C. Jala
    Jala is a municipality and town in the Mexican state of Nayarit, known for its agricultural traditions and proximity to the Ceboruco volcano.
  • D. Jale
    Jale is a town located in the Darbhanga district of the Indian state of Bihar.
  • E. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42978f881909f217e7ec9ac3144 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83c798088190944e7d754aa9aa06 completed March 10, 2026, 2:36 a.m.
NEDg Description generation batch_69af84a08ffc8190b113d07f3d322d0c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85a052448190898ee1a2f8368122 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.