Triple

T10530721
Position Surface form Disambiguated ID Type / Status
Subject Misamis Occidental E248433 entity
Predicate hasCity P316 FINISHED
Object Tangub E854007 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: Tangub | Statement: [Misamis Occidental, hasCity, Tangub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangub
Context triple: [Misamis Occidental, hasCity, Tangub]
  • A. Tangub chosen
    Tangub is a coastal city in Misamis Occidental, Philippines, known for its location along Iligan Bay and its festive Christmas decorations.
  • B. Paita
    Paita is a coastal port city in northwestern Peru, known historically as a Pacific trading hub and later as the place where independence figure Manuela Sáenz spent her final years in exile.
  • C. Gundunguri
    Gundunguri is an alternative name for the Gundungurra, an Aboriginal Australian people traditionally associated with the Southern Highlands and Blue Mountains region of New South Wales.
  • D. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • E. Waiyana
    Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a16915c8190ac4f3fd5e43c5fed completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933fffc4c81908798094f72a06d18 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:30 p.m.