Triple

T22441033
Position Surface form Disambiguated ID Type / Status
Subject Tokyo’s outlying islands E554754 entity
Predicate hasPart P35 FINISHED
Object Volcano Islands — 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: Volcano Islands | Statement: [Tokyo’s outlying islands, hasPart, Volcano Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Volcano Islands
Context triple: [Tokyo’s outlying islands, hasPart, Volcano Islands]
  • A. Volcano Islands chosen
    The Volcano Islands are a small Japanese archipelago in the western Pacific Ocean, best known for including Iwo Jima, the site of a major World War II battle.
  • B. Volcano Island
    Volcano Island is a small volcanic island in the Philippines that forms the active core of Taal Volcano within Taal Lake.
  • C. volcanic island Una-Una
    Volcanic island Una-Una is a remote Indonesian island in Central Sulawesi known for its active volcano and rich marine life that attracts divers and eco-tourists.
  • D. Triangle Islands
    The Triangle Islands are a small island group that includes Pico Island, located in the Azores archipelago of the North Atlantic Ocean.
  • E. Flores volcanic massif
    Flores volcanic massif is a large volcanic complex on Flores Island in the Azores, characterized by rugged terrain, crater lakes, and significant volcanic and geothermal features.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae1f82881908a611f134eb03f3d completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.