Triple

T10397923
Position Surface form Disambiguated ID Type / Status
Subject Misamis Oriental E245068 entity
Predicate hasMunicipality P847 FINISHED
Object Lugait E817871 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: Lugait | Statement: [Misamis Oriental, hasMunicipality, Lugait]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lugait
Context triple: [Misamis Oriental, hasMunicipality, Lugait]
  • A. Lugait chosen
    Lugait is a coastal municipality in the Philippines located along the shores of Macajalar Bay in Northern Mindanao.
  • B. Lugnut
    Lugnut is the costumed mascot character for the Lansing Lugnuts minor league baseball team, entertaining fans at games and team events.
  • C. Lugensa
    Lugensa is a genus of seabirds in the petrel family Procellariidae, comprising medium-sized, oceanic birds adapted to long-distance flight over open waters.
  • D. Luga
    Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
  • E. Ludag
    Ludag is a small coastal settlement on the island of South Uist in Scotland’s Outer Hebrides.
  • 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.