Triple

T22747860
Position Surface form Disambiguated ID Type / Status
Subject San Fabian E562602 entity
Predicate regionalCenterNearby P61362 FINISHED
Object Lingayen NE NERFINISHED

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: Lingayen | Statement: [San Fabian, regionalCenterNearby, Lingayen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lingayen
Context triple: [San Fabian, regionalCenterNearby, Lingayen]
  • A. Lingayen chosen
    Lingayen is a coastal municipality in the Philippines that serves as the capital of Pangasinan and is known for its historic bay and World War II significance.
  • B. Balangiga
    Balangiga is a coastal municipality in the province of Eastern Samar in the Philippines, historically known for the 1901 Balangiga encounter during the Philippine–American War.
  • C. Bataan
    Bataan is a coastal province on the western side of Luzon in the Philippines, historically known as the site of the World War II Battle of Bataan and the Bataan Death March.
  • D. Canlaon
    Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
  • E. Malolos
    Malolos is a historic city in the Philippines best known as the birthplace of the First Philippine Republic and the site of the Malolos Congress.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b702388190b134dde5f80ea3cd completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.