Triple

T2979505
Position Surface form Disambiguated ID Type / Status
Subject Province of Bataan E80476 entity
Predicate contains P35 FINISHED
Object Balanga City E429822 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: Balanga City | Statement: [Province of Bataan, contains, Balanga City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balanga City
Context triple: [Province of Bataan, contains, Balanga City]
  • A. Balanga City chosen
    Balanga City is a component city in the province of Bataan, Philippines, known for its historical significance in World War II and its role as the provincial capital.
  • B. Dapitan City
    Dapitan City is a historic coastal city in the Philippines best known as the place of exile of national hero José Rizal and as a heritage and pilgrimage destination in the Zamboanga Peninsula.
  • C. 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.
  • D. Bayugan
    Bayugan is a component city in the Caraga region of Mindanao in the Philippines, known as an agricultural and commercial hub in its area.
  • E. Dagupan
    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.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999cca40819082e2d6d10bdb7872 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d02c25408190ba366a6a5e422046 completed March 14, 2026, 9:16 p.m.
Created at: March 8, 2026, 2:58 p.m.