Triple

T18002589
Position Surface form Disambiguated ID Type / Status
Subject Laguna Technopark E430663 entity
Predicate locatedIn P40 FINISHED
Object Santa Rosa, Laguna NE NERFINISHED

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: [Laguna Technopark, locatedIn, Santa Rosa, Laguna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa, Laguna
Context triple: [Laguna Technopark, locatedIn, 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. Laguna City
    Laguna City is a large private residential housing estate in Kowloon, Hong Kong, known for its multiple high-rise towers and extensive on-site amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3e9498c8190bdfa7a53b0c0d8db completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.