Triple

T21641621
Position Surface form Disambiguated ID Type / Status
Subject Gizo E534100 entity
Predicate hasNearbyIsland P970 FINISHED
Object Ranongga 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: Ranongga | Statement: [Gizo, hasNearbyIsland, Ranongga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranongga
Context triple: [Gizo, hasNearbyIsland, Ranongga]
  • A. Ranongga chosen
    Ranongga is an island in the Western Province of the Solomon Islands, known for its traditional villages, coral reefs, and subsistence farming communities.
  • B. Rangat
    Rangat is a coastal town and administrative hub located on Middle Andaman Island in the Andaman and Nicobar Islands, India.
  • C. Ragau
    Ragau is a biblical name appearing in some translations as a variant of the place or figure known as Rages.
  • D. Narungga
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • E. Bambarra
    Bambarra is a small coastal village on Middle Caicos in the Turks and Caicos Islands, known for its historical links to African heritage and its tranquil, undeveloped beaches.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53917f3c81909e7f4074beecefd3 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.