Triple

T11604850
Position Surface form Disambiguated ID Type / Status
Subject Burnet County, Texas E275228 entity
Predicate hasCity P316 FINISHED
Object Burnet, Texas E979968 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: Burnet, Texas | Statement: [Burnet County, Texas, hasCity, Burnet, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burnet, Texas
Context triple: [Burnet County, Texas, hasCity, Burnet, Texas]
  • A. Burnet, Texas chosen
    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.
  • B. 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.
  • C. Burleson, Texas
    Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to Fort Worth.
  • D. Cleburne, Texas
    Cleburne, Texas is a small city in North Texas known for its historic downtown, railroad heritage, and role as a regional hub within the Dallas–Fort Worth metropolitan area.
  • E. Brownwood, Texas
    Brownwood, Texas is a small central Texas city that serves as a regional hub for commerce, education, and healthcare in the surrounding rural 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f63ed82a548190ab9326daef78e30b completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:38 p.m.