Triple

T14289085
Position Surface form Disambiguated ID Type / Status
Subject Aranuka E354260 entity
Predicate capital P234 FINISHED
Object Buariki E462687 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: Buariki | Statement: [Aranuka, capital, Buariki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buariki
Context triple: [Aranuka, capital, Buariki]
  • A. Buariki chosen
    Buariki is a village on the atoll of Marakei in the island nation of Kiribati in the central Pacific Ocean.
  • B. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • C. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • D. Ruviana
    Ruviana is an alternative name for Roviana, an Oceanic language spoken in the Solomon Islands.
  • E. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46812ed48190b879afe9a93784e8 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:11 a.m.