Triple

T6612592
Position Surface form Disambiguated ID Type / Status
Subject Iōjima E149271 entity
Predicate locatedIn P40 FINISHED
Object Philippine Sea E7544 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: Philippine Sea | Statement: [Iōjima, locatedIn, Philippine Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine Sea
Context triple: [Iōjima, locatedIn, 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. 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.
  • D. Sibuyan Sea
    The Sibuyan Sea is a marginal sea of the western Pacific Ocean in the central Philippines, known as the site of major World War II naval battles and shipwrecks.
  • E. Sulu Sea
    The Sulu Sea is a marginal sea in the western Pacific Ocean, located between the Philippines, Malaysia, and Indonesia, known for its rich marine biodiversity and important shipping routes.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3778a8819094e83afed7c6596f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c750fd986c819099dcf429008e8cdf completed March 28, 2026, 3:54 a.m.
Created at: March 27, 2026, 1:57 p.m.