Triple

T19311421
Position Surface form Disambiguated ID Type / Status
Subject MacArthur Highway E482978 entity
Predicate passesThrough P225 FINISHED
Object Urdaneta 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: Urdaneta | Statement: [MacArthur Highway, passesThrough, Urdaneta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urdaneta
Context triple: [MacArthur Highway, passesThrough, Urdaneta]
  • A. Urdaneta
    Urdaneta is an upscale residential and commercial barangay in Makati, Metro Manila, known for its affluent neighborhoods and proximity to the city’s central business district.
  • B. Urdaneta chosen
    Urdaneta is a component city in the province of Pangasinan in the Philippines, known as a commercial and transportation hub in the Ilocos Region.
  • C. Danao
    Danao is a coastal city and municipality on Cebu Island in the Philippines known for its historical significance and local industries.
  • D. Plaridel
    Plaridel is a municipality in the province of Bulacan in the Philippines, known for its historical significance and proximity to Metro Manila.
  • E. Plaridel
    Plaridel is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604ce5de081909811c49f56ba94bb completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.