Triple

T13411659
Position Surface form Disambiguated ID Type / Status
Subject Tanga Islands E320102 entity
Predicate hasIsland P970 FINISHED
Object Bitbok Island 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: Bitbok Island | Statement: [Tanga Islands, hasIsland, Bitbok Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitbok Island
Context triple: [Tanga Islands, hasIsland, Bitbok Island]
  • A. Bitbok Island chosen
    Bitbok Island is a small island that forms part of the Tanga Island group in the Bismarck Sea off the coast of Papua New Guinea.
  • B. Stoltenhoff Island
    Stoltenhoff Island is a small, uninhabited rocky islet in the South Atlantic Ocean that forms part of the remote Tristan da Cunha archipelago.
  • C. Heissa Island
    Heissa Island is a Nubian-inhabited island in the Nile near Aswan in southern Egypt, known for its traditional culture and scenic river landscapes.
  • D. Etten Island
    Etten Island is a small island within Chuuk State in the Federated States of Micronesia, located in the central Pacific Ocean.
  • E. Mamutik Island
    Mamutik Island is a small tropical island in Sabah, Malaysia, known for its clear waters, coral reefs, and beaches popular with snorkelers and day-trippers.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb3facc819088c1af3b59237e7a completed April 12, 2026, 2:39 p.m.
Created at: April 9, 2026, 9:35 p.m.