Triple

T17009933
Position Surface form Disambiguated ID Type / Status
Subject Buka Island E412670 entity
Predicate hasLargestSettlement P235 FINISHED
Object Buka E661065 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: Buka | Statement: [Buka Island, hasLargestSettlement, Buka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buka
Context triple: [Buka Island, hasLargestSettlement, Buka]
  • A. Buka chosen
    Buka is the main town and administrative center of Buka Island in Papua New Guinea’s Bougainville region.
  • B. Buka people
    The Buka people are an indigenous Melanesian ethnic group native to Buka Island in the Autonomous Region of Bougainville, Papua New Guinea, known for their distinct languages, matrilineal social structures, and rich traditional culture.
  • C. Oeffingen
    Oeffingen is a district of the town of Fellbach in the German state of Baden-Württemberg.
  • D. Barebuka
    Barebuka is a small village settlement located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • E. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47a8444819081f1262eb7dbda40 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b46e89c81908271eb22b535c558 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:33 a.m.