Triple

T13510085
Position Surface form Disambiguated ID Type / Status
Subject Pitons Management Area E321115 entity
Predicate contains P35 FINISHED
Object Petit Piton E87309 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: Petit Piton | Statement: [Pitons Management Area, contains, Petit Piton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petit Piton
Context triple: [Pitons Management Area, contains, Petit Piton]
  • A. Petit Piton chosen
    Petit Piton is one of Saint Lucia’s iconic twin volcanic spires, renowned for its dramatic rise from the Caribbean Sea and status as part of a UNESCO World Heritage Site.
  • B. Mavoko
    Mavoko is a rapidly growing industrial and residential town in Kenya’s Machakos County that forms part of the greater Nairobi metropolitan area.
  • C. Piti
    Piti is a coastal village and port area on the western shore of Guam, known for its harbor facilities and proximity to Apra Harbor.
  • D. Mon Repos
    Mon Repos is a coastal area in Queensland, Australia, best known for its important marine turtle rookery and conservation park.
  • E. Valongo
    Valongo is a municipality in Portugal’s Porto District, known for its proximity to Porto and its mix of urban areas, industrial zones, and natural landscapes.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf85a74081909eb08751fc55ce8f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75490291c8190b5985d8c90ef1af6 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.