Triple

T3112797
Position Surface form Disambiguated ID Type / Status
Subject Samar Island E64988 entity
Predicate partOf P40 FINISHED
Object Visayan Islands E17470 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: Visayan Islands | Statement: [Samar Island, partOf, Visayan Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visayan Islands
Context triple: [Samar Island, partOf, Visayan Islands]
  • A. Visayas chosen
    Visayas is a central group of islands in the Philippines known for its rich cultural heritage, vibrant festivals, and popular beach and diving destinations.
  • B. Dinagat Islands
    Dinagat Islands is a province in the Caraga region of the Philippines known for its rugged coastline, rich marine biodiversity, and relatively remote, less-developed island communities.
  • C. Cebu Island
    Cebu Island is a major island in the central Philippines known for its historic city of Cebu, vibrant commerce, and popular beach and dive destinations.
  • D. 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.
  • E. Bohol Island
    Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43c79448190aa72f707319e8c5e completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e817b0d881909365a6bf5eb5104b completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:04 p.m.