Triple

T4606557
Position Surface form Disambiguated ID Type / Status
Subject Chavacano E100450 entity
Predicate spokenIn P2266 FINISHED
Object Cavite City E260510 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 City | Statement: [Chavacano, spokenIn, Cavite City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavite City
Context triple: [Chavacano, spokenIn, Cavite City]
  • A. Cavite City chosen
    Cavite City is a coastal urban center in the province of Cavite in the Philippines, historically significant as a former Spanish colonial port and naval base near Metro Manila.
  • 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. Quezon City
    Quezon City is a major urban center in Metro Manila known for hosting many national government institutions, universities, and media networks in the Philippines.
  • D. Cavite
    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.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599c50d08190ab226cd0691e29f9 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7e252c88190be9796ab9bf174c8 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:12 p.m.