Triple

T17241860
Position Surface form Disambiguated ID Type / Status
Subject Campus Santiago Vitacura E418517 entity
Predicate locatedInMetropolitanArea P294 FINISHED
Object Gran Santiago E467401 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: Gran Santiago | Statement: [Campus Santiago Vitacura, locatedInMetropolitanArea, Gran Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gran Santiago
Context triple: [Campus Santiago Vitacura, locatedInMetropolitanArea, Gran Santiago]
  • A. Gran Santiago chosen
    Gran Santiago is the expansive metropolitan area encompassing Chile's capital city, Santiago, and its surrounding urban districts.
  • B. Vale de Santiago
    Vale de Santiago is a civil parish in the municipality of Odemira, located in the Alentejo region of southern Portugal.
  • C. San Roque
    San Roque is a barangay (village-level administrative division) within the city of San Jose in the Philippine province of Negros Oriental.
  • D. San Roque
    San Roque is a municipality in the Magdalena Medio region of Antioquia, Colombia, known for its agricultural activities and role in regional commerce.
  • E. San Roque
    San Roque is a barangay (village-level administrative division) within the municipality of Paombong in the province of Bulacan, Philippines.
  • 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.