Triple

T14503573
Position Surface form Disambiguated ID Type / Status
Subject Pangasinan E340205 entity
Predicate hasMunicipality P847 FINISHED
Object Lingayen E298233 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: Lingayen | Statement: [Pangasinan, hasMunicipality, Lingayen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lingayen
Context triple: [Pangasinan, hasMunicipality, 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 (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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a4660c881908d0cdc27c277ae6b completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:21 a.m.