Triple

T7843398
Position Surface form Disambiguated ID Type / Status
Subject Vanikoro Island E181858 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Teanu language E487761 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: Teanu language | Statement: [Vanikoro Island, hasLocalLanguage, Teanu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teanu language
Context triple: [Vanikoro Island, hasLocalLanguage, Teanu language]
  • A. Teiwa language
    Teiwa language is a Papuan language spoken by the Teiwa people on Pantar Island in eastern Indonesia.
  • B. Touo language
    Touo is an Oceanic language spoken by a small community in the Solomon Islands, noted for its distinct phonology and limited number of speakers.
  • C. Tanema language chosen
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • D. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • E. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163c72248190b53bc53980e8ac0f completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aded4048190b18604963784352c completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:48 p.m.