Triple

T11740979
Position Surface form Disambiguated ID Type / Status
Subject Panay E279151 entity
Predicate hasProvince P285 FINISHED
Object Antique E235988 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: Antique | Statement: [Panay, hasProvince, Antique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antique
Context triple: [Panay, hasProvince, Antique]
  • A. Antique chosen
    Antique is a coastal province in the Western Visayas region of the Philippines, known for its rugged mountains, hot springs, and rich cultural traditions.
  • B. Old East
    Old East is a historic University of North Carolina at Chapel Hill residence hall, widely regarded as the oldest state university building in the United States.
  • C. Antiguoko
    Antiguoko is a Spanish youth football club known for developing talented players who go on to professional careers.
  • D. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • E. Old
    "Old" is a 2021 psychological horror thriller film written and directed by M. Night Shyamalan about a family on a secluded beach where rapid aging turns a single day into a lifetime.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f025f88190a39280806c9d7c33 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019d331888190866bdd04f6c73e08 completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.