Triple

T16236549
Position Surface form Disambiguated ID Type / Status
Subject Western Luzon E394126 entity
Predicate hasMajorCity P316 FINISHED
Object Dagupan E411021 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: Dagupan | Statement: [Western Luzon, hasMajorCity, Dagupan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagupan
Context triple: [Western Luzon, hasMajorCity, 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 (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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455abc608190ba3308c15c9e8a23 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb40dc08190b9d6a04f3c19f57d completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 5:04 a.m.