Triple

T12274058
Position Surface form Disambiguated ID Type / Status
Subject Los Leones E292544 entity
Predicate locatedIn P40 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: [Los Leones, locatedIn, Gran Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gran Santiago
Context triple: [Los Leones, locatedIn, 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 municipality in the Magdalena Medio region of Antioquia, Colombia, known for its agricultural activities and role in regional commerce.
  • D. San Roque
    San Roque is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and rural agricultural economy.
  • E. San Roque
    San Roque is a coastal barangay of Cavite City in the Philippines known for its residential communities and proximity to Manila Bay.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cef684081908adaee8e04facc2e completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6b50a48190b1beabd149d5830f completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.