Triple

T363030
Position Surface form Disambiguated ID Type / Status
Subject Manila E7896 entity
Predicate locatedIn P40 FINISHED
Object Luzon E17124 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: Luzon | Statement: [Manila, locatedIn, Luzon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luzon
Context triple: [Manila, locatedIn, 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. Zamboanga Peninsula
    Zamboanga Peninsula is a region in western Mindanao in the southern Philippines known for its cultural diversity, coastal cities, and mix of languages including Cebuano and Chavacano.
  • E. Leyte
    Leyte is a large island province in the Eastern Visayas region of the Philippines, known for its rich cultural traditions and historical significance, including major World War II events.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebcfb0f48190b9a9010c7837ac58 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4177149008190a4b7b252e21dcb09 completed March 1, 2026, 10:39 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.