Triple

T14950301
Position Surface form Disambiguated ID Type / Status
Subject Kawit E372774 entity
Predicate formerName P65 FINISHED
Object Cavite El Viejo E74028 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: Cavite El Viejo | Statement: [Kawit, formerName, Cavite El Viejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavite El Viejo
Context triple: [Kawit, formerName, Cavite El Viejo]
  • A. Cavite chosen
    Cavite is a coastal province in the Calabarzon region of the Philippines, historically significant as a center of the Philippine Revolution and located just south of Metro Manila.
  • B. Dasmariñas
    Dasmariñas is a rapidly urbanizing city in the province of Cavite in the Philippines, known as a major residential, commercial, and educational hub south of Metro Manila.
  • C. Sta. Cruz
    Sta. Cruz is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural economy and proximity to the South China Sea.
  • D. Sta. Cruz
    Sta. Cruz is a coastal municipality in the province of Zambales in the Philippines, known for its fishing communities and proximity to the West Philippine Sea.
  • E. Dasmariñas, Cavite
    Dasmariñas, Cavite is a rapidly urbanizing city in the province of Cavite in the Philippines, known as a major residential, commercial, and educational 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68fae3c81909873b113bfcaca05 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bd871188190afcba3be94dbfa94 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:39 a.m.