Triple

T517347
Position Surface form Disambiguated ID Type / Status
Subject Waray language E10736 entity
Predicate spokenIn P2266 FINISHED
Object Leyte Island E32776 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: Leyte Island | Statement: [Waray language, spokenIn, Leyte Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leyte Island
Context triple: [Waray language, spokenIn, Leyte Island]
  • A. Leyte chosen
    Leyte is a large island province in the Eastern Visayas region of the Philippines, known for its rich cultural traditions and historical significance, including major World War II events.
  • B. Samar Island
    Samar Island is a large island in the Eastern Visayas region of the Philippines, known for its rugged terrain, rich biodiversity, and distinct local culture.
  • C. Visayas
    Visayas is a central group of islands in the Philippines known for its rich cultural heritage, vibrant festivals, and popular beach and diving destinations.
  • D. Zamboanga Peninsula
    Zamboanga Peninsula is a region in western Mindanao in the southern Philippines known for its cultural diversity, coastal cities, and mix of languages including Cebuano and Chavacano.
  • E. Guimaras
    Guimaras is a small island province in the Philippines known for its mango production, coastal scenery, and predominantly Hiligaynon-speaking population.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f19d81d48190bd65a02059fc8473 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ab1dc61081908d7215b68f95b2ba completed March 1, 2026, 9:09 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.