Triple

T8548422
Position Surface form Disambiguated ID Type / Status
Subject Province of Laguna E202382 entity
Predicate hasCity P316 FINISHED
Object Santa Rosa, Laguna E438588 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: Santa Rosa, Laguna | Statement: [Province of Laguna, hasCity, Santa Rosa, Laguna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa, Laguna
Context triple: [Province of Laguna, hasCity, Santa Rosa, Laguna]
  • A. Santa Rosa, Laguna chosen
    Santa Rosa, Laguna is a rapidly urbanizing city in the province of Laguna, Philippines, known as a major industrial, commercial, and residential hub south of Metro Manila.
  • B. Santa Cruz, Laguna
    Santa Cruz, Laguna is a municipality in the Philippines that serves as the political and administrative center of the province of Laguna.
  • C. San Pablo, Laguna
    San Pablo, Laguna is a component city in the Philippines known for its scenic seven crater lakes and its role as a commercial and cultural center in the southern part of Laguna province.
  • D. San Pedro, Laguna
    San Pedro, Laguna is a suburban city in the province of Laguna, Philippines, situated just south of Metro Manila along the shores of Laguna de Bay.
  • E. Los Baños, Laguna
    Los Baños, Laguna is a municipality in the Philippines known for its hot springs, the University of the Philippines Los Baños campus, and its role in World War II history.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe7529b648190b4b1cf1cb8836546 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc91af4f4819087b59eadbf3a6c26 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:19 p.m.