Triple

T20069528
Position Surface form Disambiguated ID Type / Status
Subject Province of Quezon E499696 entity
Predicate hasCity P316 FINISHED
Object Lucena City 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: Lucena City | Statement: [Province of Quezon, hasCity, Lucena City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucena City
Context triple: [Province of Quezon, hasCity, Lucena City]
  • A. Lucena City chosen
    Lucena City is a highly urbanized coastal city in Quezon Province, Philippines, serving as a major commercial, educational, and transportation hub in the Calabarzon region.
  • B. Tarlac City
    Tarlac City is the capital and largest urban center of the province of Tarlac in the Central Luzon (Region III) area of the Philippines.
  • C. Cabanatuan City
    Cabanatuan City is a highly urbanized commercial and transportation hub in the Philippine province of Nueva Ecija, historically known as the "Tricycle Capital of the Philippines."
  • D. Legazpi City
    Legazpi City is a coastal city in the Philippines known as the regional center of the Bicol Region and famed for its views of the Mayon Volcano.
  • E. Iriga City
    Iriga City is a component city in the province of Camarines Sur in the Philippines, known for its Mount Iriga volcano and role as a commercial and educational hub in the Bicol Region.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:39 p.m.