Triple

T17123447
Position Surface form Disambiguated ID Type / Status
Subject Falls County, Texas E415526 entity
Predicate contains P35 FINISHED
Object Lott, Texas
Lott, Texas is a small rural city in central Texas known for its agricultural surroundings and location within Falls County.
 E1252547 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: Lott, Texas | Statement: [Falls County, Texas, contains, Lott, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lott, Texas
Context triple: [Falls County, Texas, contains, Lott, Texas]
  • A. Rockett, Texas
    Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
  • B. Lavon, Texas
    Lavon, Texas is a small city in Collin County that forms part of the Dallas–Fort Worth metropolitan area and lies near Lake Lavon in northeastern Texas.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: Lott, Texas
Triple: [Falls County, Texas, contains, Lott, Texas]
Generated description
Lott, Texas is a small rural city in central Texas known for its agricultural surroundings and location within Falls County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lott, Texas
Target entity description: Lott, Texas is a small rural city in central Texas known for its agricultural surroundings and location within Falls County.
  • A. Rockett, Texas
    Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
  • B. Lavon, Texas
    Lavon, Texas is a small city in Collin County that forms part of the Dallas–Fort Worth metropolitan area and lies near Lake Lavon in northeastern Texas.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80b7e6881909f7635875549a2f1 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014147db18819083e6cfbb597687c1 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a014209b11081908ed088a9bb18b73b completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0142ac95188190847f29cb0f8d15ed completed May 11, 2026, 2:45 a.m.
Created at: April 10, 2026, 5:36 a.m.