Triple

T14573628
Position Surface form Disambiguated ID Type / Status
Subject City of Boerne v. Flores E341980 entity
Predicate involvedParty P15562 FINISHED
Object Boerne, Texas E341980 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: Boerne, Texas | Statement: [City of Boerne v. Flores, involvedParty, Boerne, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boerne, Texas
Context triple: [City of Boerne v. Flores, involvedParty, Boerne, Texas]
  • A. Boerne, Texas chosen
    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.
  • B. 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.
  • C. Bonney, Texas
    Bonney, Texas is a small village in Brazoria County that forms part of the Greater Houston metropolitan region.
  • D. Burnet, Texas
    Burnet, Texas is a small central Texas city known for its historic downtown, proximity to Highland Lakes, and role as a gateway to the Hill Country.
  • E. Buda, Texas
    Buda, Texas is a small city in Central Texas, located just south of Austin and known for its rapid suburban growth and annual wiener dog races.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a023005e760819081b723a7246c78ce completed May 11, 2026, 7:37 p.m.
Created at: April 10, 2026, 1:24 a.m.