Triple

T4428064
Position Surface form Disambiguated ID Type / Status
Subject Austin City Hall E95256 entity
Predicate locatedIn P40 FINISHED
Object Downtown Austin E174422 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: Downtown Austin | Statement: [Austin City Hall, locatedIn, Downtown Austin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Austin
Context triple: [Austin City Hall, locatedIn, Downtown Austin]
  • A. downtown Austin chosen
    Downtown Austin is the central business and cultural district of Austin, Texas, known for its dense skyline, live music venues, nightlife, and proximity to the Texas State Capitol and Lady Bird Lake.
  • B. Downtown Dallas
    Downtown Dallas is the central business district and urban core of Dallas, Texas, known for its skyscrapers, cultural attractions, and major corporate headquarters.
  • C. Downtown Houston
    Downtown Houston is the central business district and urban core of Houston, Texas, known for its skyscrapers, entertainment venues, and major sports arenas.
  • D. Austin
    Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
  • E. Austin
    Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355674d5481908bf2dfd611f3520f completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136ac9c081908780783a27f66474 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.