Triple

T13049285
Position Surface form Disambiguated ID Type / Status
Subject Japanese battleship Musashi E327406 entity
Predicate sunkIn P862 FINISHED
Object Sibuyan Sea E126680 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: Sibuyan Sea | Statement: [Japanese battleship Musashi, sunkIn, Sibuyan Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sibuyan Sea
Context triple: [Japanese battleship Musashi, sunkIn, Sibuyan Sea]
  • A. Sibuyan Sea chosen
    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.
  • B. Luzon Sea
    The Luzon Sea is a marginal sea of the western Pacific Ocean located west of Luzon Island in the Philippines.
  • C. 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.
  • 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. Bohol Sea
    The Bohol Sea, also known as the Mindanao Sea, is a deep basin in the southern Philippines renowned for its rich marine biodiversity and popular dive sites.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7941e0560819080eee43a9ed0e1bb completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 8:57 p.m.