Triple

T17407019
Position Surface form Disambiguated ID Type / Status
Subject Bryan City Hall E423241 entity
Predicate ownedBy P347 FINISHED
Object City of Bryan NE NERFINISHED

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: City of Bryan | Statement: [Bryan City Hall, ownedBy, City of Bryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bryan
Context triple: [Bryan City Hall, ownedBy, City of Bryan]
  • 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. Springtown
    Springtown is a small rural community located within the township of Greater Madawaska in eastern Ontario, Canada.
  • C. Bay City, Texas
    Bay City, Texas is a small city in Matagorda County known as a regional hub for agriculture, energy, and access to the Texas Gulf Coast.
  • D. Crosbyton
    Crosbyton is a small rural city in West Texas that serves as the administrative and commercial hub of Crosby County.
  • E. Burdette
    Burdette is a surname most notably associated with Lew Burdette, a prominent Major League Baseball pitcher of the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b081ae08190b144e333a3a74b02 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.