Triple

T12355401
Position Surface form Disambiguated ID Type / Status
Subject NBP E294597 entity
Predicate city P40 FINISHED
Object Muntinlupa E219900 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: Muntinlupa | Statement: [NBP, city, Muntinlupa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muntinlupa
Context triple: [NBP, city, Muntinlupa]
  • A. Muntinlupa chosen
    Muntinlupa is a highly urbanized city in the southern part of Metro Manila in the Philippines, known for housing the New Bilibid Prison and major commercial and residential developments like Alabang.
  • B. Caloocan
    Caloocan is a highly urbanized city in the Philippines that forms part of the northern section of Metro Manila and serves as a major residential and commercial hub.
  • C. Las Piñas City
    Las Piñas City is a highly urbanized city in Metro Manila, Philippines, known for its rapid residential and commercial development and its famous Bamboo Organ.
  • D. Mandaluyong
    Mandaluyong is a highly urbanized city in the Philippines known as part of Metro Manila’s central business and commercial district.
  • E. Calamba City
    Calamba City is a highly urbanized city in the province of Laguna, Philippines, known as the hometown of national hero José Rizal and a major industrial and residential hub south of Metro Manila.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d2f958c819094b3c43f8bbd362b completed May 3, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:54 p.m.