Triple

T2375884
Position Surface form Disambiguated ID Type / Status
Subject Cebu E46197 entity
Predicate hasPart P35 FINISHED
Object Bantayan E116248 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: Bantayan | Statement: [Cebu, hasPart, Bantayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bantayan
Context triple: [Cebu, hasPart, Bantayan]
  • A. Bantayan Island chosen
    Bantayan Island is a scenic island in the central Philippines known for its white-sand beaches, clear waters, and laid-back coastal villages.
  • B. Siargao Island
    Siargao Island is a renowned Philippine island destination famous for its world-class surfing waves, pristine beaches, and laid-back tropical atmosphere.
  • C. Daanbantayan
    Daanbantayan is a northern coastal municipality in the Philippine province of Cebu known as a gateway to popular diving and beach destinations like Malapascua Island.
  • D. Siquijor Island
    Siquijor Island is a small Philippine island province in the central Visayas region, known for its white-sand beaches, coral reefs, and folklore surrounding mysticism and traditional healing.
  • E. 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.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc794eee481908163148e1e666d9b completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12ded5f9c8190a0de21b631d970b0 completed March 11, 2026, 8:55 a.m.
Created at: March 4, 2026, 7:57 p.m.