Triple

T19311426
Position Surface form Disambiguated ID Type / Status
Subject MacArthur Highway E482978 entity
Predicate passesThrough P225 FINISHED
Object Dagupan 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: Dagupan | Statement: [MacArthur Highway, passesThrough, Dagupan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagupan
Context triple: [MacArthur Highway, passesThrough, Dagupan]
  • A. Dagupan chosen
    Dagupan is a coastal independent component city in the Philippines known for its bangus (milkfish) industry and role as a commercial and educational center in Pangasinan.
  • B. Pagadian City
    Pagadian City is a coastal city in the southern Philippines that serves as the regional center and administrative hub of the Zamboanga Peninsula.
  • C. Malaybalay
    Malaybalay is a city in the Philippines known as the administrative and cultural center of the landlocked, mountainous province of Bukidnon on Mindanao island.
  • D. Calapan
    Calapan is the capital city of Oriental Mindoro in the Philippines, serving as a key commercial and transportation hub in the Mimaropa region.
  • E. Iriga City
    Iriga City is a component city in the province of Camarines Sur in the Philippines, known for its Mount Iriga volcano and role as a commercial and educational hub in the Bicol Region.
  • 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.