Triple

T17163088
Position Surface form Disambiguated ID Type / Status
Subject Freestone County, Texas E416530 entity
Predicate hasCity P316 FINISHED
Object Teague, Texas
Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
 E1446386 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: Teague, Texas | Statement: [Freestone County, Texas, hasCity, Teague, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teague, Texas
Context triple: [Freestone County, Texas, hasCity, Teague, Texas]
  • A. Tye, Texas
    Tye, Texas is a small city in West Texas located near Abilene, known primarily as a rural community along major transportation routes.
  • B. Van Alstyne, Texas
    Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
  • C. Briscoe, Texas
    Briscoe, Texas is a small unincorporated rural community located in Wheeler County in the Texas Panhandle.
  • D. Tehuacana, Texas
    Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
  • 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: Teague, Texas
Triple: [Freestone County, Texas, hasCity, Teague, Texas]
Generated description
Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teague, Texas
Target entity description: Teague, Texas is a small city in East-Central Texas known historically as a railroad town and local trade center.
  • A. Tye, Texas
    Tye, Texas is a small city in West Texas located near Abilene, known primarily as a rural community along major transportation routes.
  • B. Van Alstyne, Texas
    Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
  • C. Briscoe, Texas
    Briscoe, Texas is a small unincorporated rural community located in Wheeler County in the Texas Panhandle.
  • D. Tehuacana, Texas
    Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91316108190b0d856d6fa5cd509 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e035bf9881909ea2cceb8a9363b3 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e0937f688190a5270f3b144f5343 completed May 16, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_6a08e14ff70081909fc434f4d4a62a64 completed May 16, 2026, 9:27 p.m.
Created at: April 10, 2026, 5:37 a.m.