Triple

T18003015
Position Surface form Disambiguated ID Type / Status
Subject Daraga Church E430673 entity
Predicate locatedIn P40 FINISHED
Object Daraga 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: Daraga | Statement: [Daraga Church, locatedIn, Daraga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daraga
Context triple: [Daraga Church, locatedIn, Daraga]
  • A. Daraga chosen
    Daraga is a municipality in Albay province in the Philippines, known as a gateway town to the iconic Mayon Volcano and home to the historic Daraga Church.
  • B. Umiray Agta
    Umiray Agta is an indigenous Negrito group in the Philippines known for its distinct culture and language, closely related to the Umiray Dumaget language.
  • C. Dupax Isinay
    Dupax Isinay is a regional dialect of the Isinay language traditionally spoken in the Dupax area of Nueva Vizcaya in the northern Philippines.
  • D. Butala
    Butala is the birth surname of American actress Jenna Elfman, known for her role on the sitcom "Dharma & Greg."
  • E. Maganlal
    Maganlal is an Indian given name commonly used for men, particularly in Gujarati-speaking 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3ea60608190b977644e946407b7 completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.