Triple

T14011606
Position Surface form Disambiguated ID Type / Status
Subject Benguet E337091 entity
Predicate borderedBy P224 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: [Benguet, borderedBy, La Union]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Union
Context triple: [Benguet, borderedBy, 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. L’Union
    L’Union is a French regional newspaper known for covering local and national news in the Champagne-Ardenne and surrounding areas.
  • C. Unión
    Unión is an Argentine sports club best known for its professional football team based in Santa Fe.
  • D. 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.
  • E. 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.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacaa16e88190995fd86951fb54e6 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.