Triple

T26306579
Position Surface form Disambiguated ID Type / Status
Subject Ogasawara, Tokyo E661700 entity
Predicate historicalNameOfIslands P183475 FINISHED
Object Bonin 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: Bonin Islands | Statement: [Ogasawara, Tokyo, historicalNameOfIslands, Bonin Islands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalNameOfIslands
Context triple: [Ogasawara, Tokyo, historicalNameOfIslands, Bonin Islands]
  • A. hasIslandNamedAfter
    Indicates that an entity has an island that is named after it.
  • B. historicalUseNearbyIslands
    Indicates that the subject has historically used nearby islands, such as for resources, settlement, travel, or strategic purposes.
  • C. islandName
    Indicates that an entity is identified by a specific island’s name.
  • D. officialNameOfIslandToday
    Indicates that the specified name is the current official name used for the island today.
  • E. islandNameDerivedFrom
    Indicates that the name of an island is derived from, based on, or taken from another specified source.
  • F. None of above. chosen

Provenance (4 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_69ee812dacfc81908484aade9120fba9 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f7a01efcc08190bba489a9099b8684 completed May 3, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
PDg Predicate description generation batch_69f79f477c4c8190a35cb6d87b1dcbd1 completed May 3, 2026, 7:17 p.m.
Created at: April 26, 2026, 10:19 p.m.