Triple

T10397919
Position Surface form Disambiguated ID Type / Status
Subject Misamis Oriental E245068 entity
Predicate hasMunicipality P847 FINISHED
Object Kinoguitan E817874 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: Kinoguitan | Statement: [Misamis Oriental, hasMunicipality, Kinoguitan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinoguitan
Context triple: [Misamis Oriental, hasMunicipality, Kinoguitan]
  • A. Kinoguitan chosen
    Kinoguitan is a small coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
  • B. Marilao
    Marilao is a rapidly urbanizing municipality in the province of Bulacan in the Philippines, known for its commercial centers and proximity to Metro Manila.
  • C. Dupaningan Agta
    Dupaningan Agta is an Austronesian language spoken by the Agta (Negrito) communities in northeastern Luzon in the Philippines.
  • D. Kundiman
    Kundiman is a traditional Filipino genre of love songs known for its expressive, melancholic melodies and poetic lyrics, often associated with serenades and nationalist sentiment.
  • E. Marimar
    Marimar is a popular 1990s Mexican telenovela starring Thalía as a poor young woman whose life transforms dramatically after love, betrayal, and revenge.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d0de448190b0bfd4d6c87d47fa completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbbad25081908712601404734988 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:07 p.m.