Triple

T21413166
Position Surface form Disambiguated ID Type / Status
Subject Itawit-Tawit E528228 entity
Predicate spokenIn P2266 FINISHED
Object Luzon 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: Luzon | Statement: [Itawit-Tawit, spokenIn, Luzon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luzon
Context triple: [Itawit-Tawit, spokenIn, Luzon]
  • A. Luzon chosen
    Luzon is the largest and most populous island in the Philippines, home to the nation’s capital, Manila, and its main political and economic centers.
  • B. Visayas
    Visayas is a central group of islands in the Philippines known for its rich cultural heritage, vibrant festivals, and popular beach and diving destinations.
  • C. Mindanao
    Mindanao is the second-largest and southernmost major island of the Philippines, known for its diverse cultures, rich natural resources, and significant agricultural and economic role in the country.
  • D. Luzon Central Plain
    The Luzon Central Plain is a vast, fertile lowland region in central Luzon, Philippines, known as a major agricultural and population center of the country.
  • E. Southern Luzon, Philippines
    Southern Luzon, Philippines is a major geographical and cultural region in the southern part of Luzon island, known for its mix of urban centers, agricultural areas, and historically significant sites.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b20017d8819096b1a679edc8943a completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:44 p.m.