Triple

T10082369
Position Surface form Disambiguated ID Type / Status
Subject Las Piñas E213931 entity
Predicate adjacentTo P224 FINISHED
Object Bacoor E258205 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: Bacoor | Statement: [Las Piñas, adjacentTo, Bacoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bacoor
Context triple: [Las Piñas, adjacentTo, Bacoor]
  • A. Bacoor chosen
    Bacoor is a coastal city in the province of Cavite in the Philippines, situated just south of Metro Manila along the shores of Manila Bay.
  • B. Kawit
    Kawit is a historic coastal municipality in the Philippine province of Cavite, best known as the site where Philippine independence from Spain was first proclaimed in 1898.
  • C. Kawit
    Kawit was an ancient Egyptian queen and consort during the 11th Dynasty, known from her richly decorated sarcophagus and tomb at Deir el-Bahri.
  • D. Palayan City
    Palayan City is a planned component city in the Philippines known for serving as the administrative and governmental center of the province of Nueva Ecija.
  • E. Batangas City
    Batangas City is a major port and industrial hub in the province of Batangas in the Philippines, known for its oil refineries, commercial activity, and role as a gateway to nearby islands.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd03482d481908b03d35dc2d16395 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb12ac9c819087a182c12653792c completed April 9, 2026, 7:16 p.m.
Created at: March 30, 2026, 9 p.m.