Triple

T10915691
Position Surface form Disambiguated ID Type / Status
Subject Carson County E257815 entity
Predicate hasCommunity P2605 FINISHED
Object Groom, Texas
Groom, Texas is a small rural town in the Texas Panhandle best known for its prominent roadside religious landmarks along historic U.S. Route 66.
E894321 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: Groom, Texas | Statement: [Carson County, hasCommunity, Groom, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groom, Texas
Context triple: [Carson County, hasCommunity, Groom, Texas]
  • A. Graham, Texas
    Graham, Texas is a small North Texas city that serves as the county seat of Young County and a regional hub for ranching and outdoor recreation.
  • B. Groves, Texas
    Groves, Texas is a small city in Jefferson County in Southeast Texas, known as part of the industrial and petrochemical region near Port Arthur and Beaumont.
  • C. Gilmer, Texas
    Gilmer, Texas is a small East Texas city in Upshur County known for its rural character and annual East Texas Yamboree festival.
  • D. Groveton, Texas
    Groveton, Texas is a small rural city in East Texas known as the administrative and commercial hub of Trinity County.
  • E. Oak Grove, Texas
    Oak Grove, Texas is a small town located in Kaufman County within the Dallas–Fort Worth metropolitan area.
  • 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: Groom, Texas
Triple: [Carson County, hasCommunity, Groom, Texas]
Generated description
Groom, Texas is a small rural town in the Texas Panhandle best known for its prominent roadside religious landmarks along historic U.S. Route 66.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Groom, Texas
Target entity description: Groom, Texas is a small rural town in the Texas Panhandle best known for its prominent roadside religious landmarks along historic U.S. Route 66.
  • A. Graham, Texas
    Graham, Texas is a small North Texas city that serves as the county seat of Young County and a regional hub for ranching and outdoor recreation.
  • B. Groves, Texas
    Groves, Texas is a small city in Jefferson County in Southeast Texas, known as part of the industrial and petrochemical region near Port Arthur and Beaumont.
  • C. Gilmer, Texas
    Gilmer, Texas is a small East Texas city in Upshur County known for its rural character and annual East Texas Yamboree festival.
  • D. Groveton, Texas
    Groveton, Texas is a small rural city in East Texas known as the administrative and commercial hub of Trinity County.
  • E. Oak Grove, Texas
    Oak Grove, Texas is a small town located in Kaufman County within the Dallas–Fort Worth metropolitan area.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77074c77c8190af91369eee11f1b7 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216eb77dc81908c380f5fcd507275 completed April 17, 2026, 11:18 a.m.
NEDg Description generation batch_69e21d8952c881908a952de83754e049 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e2247fbd348190bb0d221923dac892 completed April 17, 2026, 12:16 p.m.
Created at: April 8, 2026, 9:22 p.m.