Triple

T5252502
Position Surface form Disambiguated ID Type / Status
Subject Navarro County, Texas E118620 entity
Predicate contains P35 FINISHED
Object Town of Dawson, Texas
The Town of Dawson is a small rural community in central Texas known for its agricultural roots and close-knit local character.
 E506365 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: Town of Dawson, Texas | Statement: [Navarro County, Texas, contains, Town of Dawson, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Town of Dawson, Texas
Context triple: [Navarro County, Texas, contains, Town of Dawson, Texas]
  • A. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • B. Dodd City, Texas
    Dodd City, Texas is a small rural town located in Fannin County in northeastern Texas.
  • C. Rio Vista, Texas
    Rio Vista, Texas is a small rural city in North Texas known for its close-knit community and agricultural surroundings.
  • D. 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.
  • E. Maypearl, Texas
    Maypearl, Texas is a small rural city in North Texas known for its close-knit community and agricultural surroundings southwest of Dallas.
  • 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: Town of Dawson, Texas
Triple: [Navarro County, Texas, contains, Town of Dawson, Texas]
Generated description
The Town of Dawson is a small rural community in central Texas known for its agricultural roots and close-knit local character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Town of Dawson, Texas
Target entity description: The Town of Dawson is a small rural community in central Texas known for its agricultural roots and close-knit local character.
  • A. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • B. Dodd City, Texas
    Dodd City, Texas is a small rural town located in Fannin County in northeastern Texas.
  • C. Rio Vista, Texas
    Rio Vista, Texas is a small rural city in North Texas known for its close-knit community and agricultural surroundings.
  • D. 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.
  • E. Maypearl, Texas
    Maypearl, Texas is a small rural city in North Texas known for its close-knit community and agricultural surroundings southwest of Dallas.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7cd7f4819098e591df07564a52 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe72c91c8190ab0f988dca420399 completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff668dbc8190bc71c8dae2b5ca72 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf00120fe88190817badb72977566e completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.