Triple

T21284366
Position Surface form Disambiguated ID Type / Status
Subject Hainesville, Texas E524613 entity
Predicate hasName P744 FINISHED
Object Hainesville
Hainesville is a small unincorporated community located in Wood County in northeastern Texas, United States.
E951847 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: Hainesville | Statement: [Hainesville, Texas, hasName, Hainesville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hainesville
Context triple: [Hainesville, Texas, hasName, Hainesville]
  • A. Hainesville
    Hainesville is a small unincorporated community located within Berkeley County in the U.S. state of West Virginia.
  • B. Hayneville
    Hayneville is a small town in central Alabama that serves as the county seat of Lowndes County and is noted for its role in the civil rights movement.
  • C. Thomasville
    Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
  • D. Villa Rica
    Villa Rica is a town in Peru’s Pasco Region, known for its coffee production and Andean highland setting.
  • E. Villa Rica
    Villa Rica is a small city in western Georgia historically known as one of the earliest gold-mining boom towns in the United States.
  • 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: Hainesville
Triple: [Hainesville, Texas, hasName, Hainesville]
Generated description
Hainesville is a small unincorporated community located in Wood County in northeastern Texas, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hainesville
Target entity description: Hainesville is a small unincorporated community located in Wood County in northeastern Texas, United States.
  • A. Hainesville chosen
    Hainesville is a small unincorporated community located within Berkeley County in the U.S. state of West Virginia.
  • B. Hayneville
    Hayneville is a small town in central Alabama that serves as the county seat of Lowndes County and is noted for its role in the civil rights movement.
  • C. Thomasville
    Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
  • D. Villa Rica
    Villa Rica is a town in Peru’s Pasco Region, known for its coffee production and Andean highland setting.
  • E. Villa Rica
    Villa Rica is a small city in western Georgia historically known as one of the earliest gold-mining boom towns in the United States.
  • F. None of above.

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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d4e7f881909c2cc7936a66b79d completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980794088190a54f7f00c2d3b3fb completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998a3326481908a4dfddfb7b2ecd9 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.