Triple

T8812526
Position Surface form Disambiguated ID Type / Status
Subject Historia de Ilocos E209700 entity
Predicate placeOfSubject P47308 FINISHED
Object La Union E283255 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: La Union | Statement: [Historia de Ilocos, placeOfSubject, La Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Union
Context triple: [Historia de Ilocos, placeOfSubject, La Union]
  • A. La Union chosen
    La Union is a coastal province in the Ilocos Region of the Philippines known for its Ilocano heritage, surfing beaches, and emerging tourism industry.
  • B. República
    República is a central neighborhood in São Paulo, Brazil, known for its historic square, diverse urban life, and concentration of commercial and cultural activities.
  • C. French Union
    The French Union was a political entity established after World War II to reorganize France’s relationship with its colonies and overseas territories within a quasi-federal framework.
  • D. République
    République is a major public square and busy transport hub in central Paris, known for its large statue of Marianne and frequent political gatherings.
  • E. Unión Española
    Unión Española is a traditional and historically successful Chilean football club based in Santiago.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5feed07881909bbe116ae359346a completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fb26b148190b66b7138cdf9c97b completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:45 p.m.