Triple

T3839424
Position Surface form Disambiguated ID Type / Status
Subject Butaritari E93414 entity
Predicate hasSettlement P1068 FINISHED
Object Tanimaiaki E404416 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: Tanimaiaki | Statement: [Butaritari, hasSettlement, Tanimaiaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanimaiaki
Context triple: [Butaritari, hasSettlement, Tanimaiaki]
  • A. Tanimaiaki chosen
    Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • B. Tui
    Tui is a historic town in northwestern Spain’s Galicia region, known for its medieval architecture and strategic location on the border with Portugal.
  • C. Takutea
    Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
  • D. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • E. Pukumina
    Pukumina is a Jamaican Afro-Christian religious tradition blending African spiritual practices with Christian elements, known for spirit possession, drumming, and healing rituals.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeb9f305c8190b71ac53bbb0c4beb completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c2db6a481909ebc822a1d3f831f completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:18 p.m.