Triple

T5898532
Position Surface form Disambiguated ID Type / Status
Subject Brazos Valley E131161 entity
Predicate hasCountySeat P383 FINISHED
Object Bryan, Texas E175288 NE FINISHED

How this triple was built (2 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: Bryan, Texas | Statement: [Brazos Valley, hasCountySeat, Bryan, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan, Texas
Context triple: [Brazos Valley, hasCountySeat, Bryan, Texas]
  • A. Bryan, Texas chosen
    Bryan, Texas is a mid-sized city in the Brazos Valley region of East-Central Texas, known for its close association with neighboring College Station and the Texas A&M University community.
  • B. Bonney, Texas
    Bonney, Texas is a small village in Brazoria County that forms part of the Greater Houston metropolitan region.
  • C. Boyd, Texas
    Boyd, Texas is a small town in Wise County known for its rural character and role as a local community hub northwest of the Dallas–Fort Worth metroplex.
  • D. Boerne, Texas
    Boerne, Texas is a small Hill Country city near San Antonio known for its German heritage, historic downtown, and role in the landmark U.S. Supreme Court case City of Boerne v. Flores.
  • E. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f7b3f48190a499d43f8ffb2fa7 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf5fcf588190bcd52c539c3958b0 completed March 28, 2026, 11:45 a.m.
Created at: March 22, 2026, 3:58 p.m.