Triple

T15546311
Position Surface form Disambiguated ID Type / Status
Subject Swisher County E370618 entity
Predicate seat P75 FINISHED
Object Tulia, Texas
Tulia, Texas is a small city in the Texas Panhandle known historically as an agricultural community and for its controversial late-1990s drug sting cases.
 E1331670 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: Tulia, Texas | Statement: [Swisher County, seat, Tulia, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tulia, Texas
Context triple: [Swisher County, seat, Tulia, Texas]
  • A. Tolar, Texas
    Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
  • B. Tatum, Texas
    Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
  • C. Talty, Texas
    Talty, Texas is a small town in northeastern Texas that functions largely as a residential community within the Dallas–Fort Worth metropolitan area.
  • D. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • E. Tenaha, Texas
    Tenaha, Texas is a small rural town in East Texas known for its location along major highways and its history within Shelby County.
  • 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: Tulia, Texas
Triple: [Swisher County, seat, Tulia, Texas]
Generated description
Tulia, Texas is a small city in the Texas Panhandle known historically as an agricultural community and for its controversial late-1990s drug sting cases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tulia, Texas
Target entity description: Tulia, Texas is a small city in the Texas Panhandle known historically as an agricultural community and for its controversial late-1990s drug sting cases.
  • A. Tolar, Texas
    Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
  • B. Tatum, Texas
    Tatum, Texas is a small city in East Texas known for its rural character and location near the intersection of major regional highways.
  • C. Talty, Texas
    Talty, Texas is a small town in northeastern Texas that functions largely as a residential community within the Dallas–Fort Worth metropolitan area.
  • D. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • E. Tenaha, Texas
    Tenaha, Texas is a small rural town in East Texas known for its location along major highways and its history within Shelby County.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a04f86dd054819084e9540deb2c836e completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9adb7e88190ab5cf82412fc4e11 completed May 13, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_6a04fa3fc8348190970145b3718cb01d completed May 13, 2026, 10:25 p.m.
Created at: April 10, 2026, 4:07 a.m.