Triple

T17222343
Position Surface form Disambiguated ID Type / Status
Subject Third District of Nueva Ecija E418016 entity
Predicate hasPart P35 FINISHED
Object Palayan 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: Palayan | Statement: [Third District of Nueva Ecija, hasPart, Palayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palayan
Context triple: [Third District of Nueva Ecija, hasPart, Palayan]
  • A. Palayan City chosen
    Palayan City is a planned component city in the Philippines known for serving as the administrative and governmental center of the province of Nueva Ecija.
  • B. Balayan
    Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
  • C. Dalaguete
    Dalaguete is a coastal municipality in the province of Cebu in the Philippines, known for its cool highland areas and vegetable farming.
  • D. Bayan ng Masinloc
    Bayan ng Masinloc is a coastal municipality in the province of Zambales in the Philippines, known for its fishing industry and proximity to the contested Scarborough Shoal in the South China Sea.
  • E. Malapatan
    Malapatan is a coastal municipality in the province of Sarangani in the Philippines, known for its diverse indigenous communities and agricultural economy.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddf2c3c8190b6adceaaefd4ccbf completed April 19, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:38 a.m.