Triple

T22748064
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Daanbantayan E562608 entity
Predicate hasBarangay P29835 FINISHED
Object Calape 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: Calape | Statement: [Municipality of Daanbantayan, hasBarangay, Calape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calape
Context triple: [Municipality of Daanbantayan, hasBarangay, Calape]
  • A. Calape chosen
    Calape is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
  • B. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • C. Garvanza
    Garvanza is a historic neighborhood in Northeast Los Angeles known for its early arts community, Craftsman architecture, and role in the development of the Arroyo culture movement.
  • D. Wasquehal
    Wasquehal is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • E. Bailundo
    Bailundo is a town and municipality in central Angola, historically significant as the seat of the Ovimbundu kingdom of Bailundo.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b702388190b134dde5f80ea3cd completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.