Triple

T18340493
Position Surface form Disambiguated ID Type / Status
Subject Province of Bohol E439387 entity
Predicate hasMunicipality P847 FINISHED
Object Ubay NE NERFINISHED

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: Ubay | Statement: [Province of Bohol, hasMunicipality, Ubay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubay
Context triple: [Province of Bohol, hasMunicipality, Ubay]
  • A. Ubay chosen
    Ubay is a coastal municipality in the northeastern part of Bohol in the Philippines, known as a local commercial and transport hub.
  • B. Uyugan
    Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
  • C. Uzairue
    Uzairue is a town in Edo State, Nigeria, known for hosting Edo State University and serving as a local educational and administrative center.
  • D. Ubima
    Ubima is a town in Rivers State, Nigeria, situated within the Ikwerre Local Government Area and inhabited predominantly by the Ikwerre people.
  • E. Osubi
    Osubi is a town in Delta State, Nigeria, known for hosting a regional airport that serves the nearby city of Warri and surrounding communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed146fc819092b08cb91defb03b completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.