Triple

T20069525
Position Surface form Disambiguated ID Type / Status
Subject Province of Quezon E499696 entity
Predicate facesBodyOfWater P1778 FINISHED
Object Philippine Sea 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: Philippine Sea | Statement: [Province of Quezon, facesBodyOfWater, Philippine Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine Sea
Context triple: [Province of Quezon, facesBodyOfWater, Philippine Sea]
  • A. Philippine Sea chosen
    The Philippine Sea is a large marginal sea in the western Pacific Ocean, lying east of the Philippines and south of Japan, known for its deep ocean trenches and strategic importance.
  • B. Visayan Sea
    The Visayan Sea is a central Philippine sea renowned for its rich fishing grounds and its location surrounded by the islands of the Visayas.
  • C. Luzon Sea
    The Luzon Sea is a marginal sea of the western Pacific Ocean located west of Luzon Island in the Philippines.
  • D. Samar Sea
    The Samar Sea is a small sea in the central Philippines, bordered by the islands of Samar, Masbate, Leyte, and others, and known for its rich marine biodiversity and fishing grounds.
  • E. Enshunada Sea
    The Enshunada Sea is a coastal body of water off the Pacific coast of central Japan, bordering Shizuoka and Aichi Prefectures.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:39 p.m.