Triple

T8079288
Position Surface form Disambiguated ID Type / Status
Subject Quezon E188573 entity
Predicate hasCity P316 FINISHED
Object Tayabas E494352 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: Tayabas | Statement: [Quezon, hasCity, Tayabas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tayabas
Context triple: [Quezon, hasCity, Tayabas]
  • A. Tayabas chosen
    Tayabas is a historic city in the province of Quezon in the Calabarzon region of the Philippines, known for its Spanish-era heritage structures and cultural festivals.
  • B. Galapagar
    Galapagar is a municipality in the Community of Madrid, Spain, known for its natural surroundings in the Sierra de Guadarrama and its role as a residential town near the capital.
  • C. Cainta
    Cainta is a highly urbanized municipality in the province of Rizal, Philippines, known as one of the country’s most populous and economically active suburban areas adjacent to Metro Manila.
  • D. Abucay
    Abucay is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance dating back to the Spanish colonial period.
  • E. 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."
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a3f01c819096a2c9d5d5199fe6 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe73549081908e8601aab662725f completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:28 p.m.