Triple

T17241837
Position Surface form Disambiguated ID Type / Status
Subject Campus Santiago Vitacura E418517 entity
Predicate locatedIn P40 FINISHED
Object Vitacura E383700 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: Vitacura | Statement: [Campus Santiago Vitacura, locatedIn, Vitacura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitacura
Context triple: [Campus Santiago Vitacura, locatedIn, Vitacura]
  • A. Vitacura chosen
    Vitacura is an affluent residential and commercial commune in northeastern Santiago, Chile, known for its high quality of life, upscale shopping, and business districts.
  • B. Wellington–Westport
    Wellington–Westport is a regional air route in New Zealand linking the capital city Wellington with the West Coast town of Westport.
  • C. Mount Albert
    Mount Albert is a parliamentary electorate in Auckland, New Zealand, known for being represented by prominent Labour Party leaders including former Prime Minister Jacinda Ardern.
  • D. Mount Albert
    Mount Albert is a volcanic peak and residential suburb in Auckland, New Zealand, known for its prominent scoria cone and surrounding urban community.
  • E. Mount Albert
    Mount Albert is a small rural community in the town of East Gwillimbury, Ontario, known for its village character and surrounding farmland.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e203ec88190a21f38cbb18a14fa completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f388608190b709b1c228a7ba29 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.