Triple

T21700486
Position Surface form Disambiguated ID Type / Status
Subject Zamboanga International Airport E535641 entity
Predicate servesIsland P970 FINISHED
Object Sulu 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: Sulu | Statement: [Zamboanga International Airport, servesIsland, Sulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulu
Context triple: [Zamboanga International Airport, servesIsland, Sulu]
  • A. Sulu chosen
    Sulu is an island province in the southern Philippines known for its predominantly Muslim population, rich Tausug culture, and historical role as the center of the Sultanate of Sulu.
  • B. Sulu
    Sulu is a Starfleet officer and helmsman of the starship USS Enterprise in the Star Trek franchise, best known for his calm professionalism and skilled piloting.
  • C. Suluq
    Suluq is a town in northeastern Libya historically known as the site where anti-colonial resistance leader Omar Mukhtar was executed by Italian authorities in 1931.
  • D. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • E. Wangtu
    Wangtu is a small settlement in the Kinnaur district of Himachal Pradesh, India, situated along the Sutlej River in the Himalayan region.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7edd3c8190bca83ef37598cbfb completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.