Triple

T1290738
Position Surface form Disambiguated ID Type / Status
Subject Philippine Arena E27539 entity
Predicate locatedIn P40 FINISHED
Object Bulacan E87267 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: Bulacan | Statement: [Philippine Arena, locatedIn, Bulacan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulacan
Context triple: [Philippine Arena, locatedIn, Bulacan]
  • A. Bulacan chosen
    Bulacan is a province in the Central Luzon region of the Philippines known for its historical significance, cultural heritage, and proximity to Metro Manila.
  • B. Pampanga
    Pampanga is a province in the Central Luzon region of the Philippines, known for its rich culinary heritage, vibrant festivals, and significant role in the country’s history and culture.
  • C. Nueva Ecija
    Nueva Ecija is a landlocked agricultural province in Central Luzon, Philippines, known as a major rice-producing area and home to diverse ethnolinguistic groups.
  • D. Tarlac
    Tarlac is a landlocked province in the Central Luzon region of the Philippines known for its culturally diverse population and agricultural economy.
  • E. 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.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d6af908190ade9c481cc6f0ad8 completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6209a388190b9f018b63120b28c completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:51 p.m.