Triple

T6786565
Position Surface form Disambiguated ID Type / Status
Subject Western Bismarck languages E155819 entity
Predicate hasMember P10 FINISHED
Object Tigak language E543374 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: Tigak language | Statement: [Western Bismarck languages, hasMember, Tigak language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tigak language
Context triple: [Western Bismarck languages, hasMember, Tigak language]
  • A. Tigak language chosen
    The Tigak language is an Austronesian language spoken by the Tigak people of New Ireland Province in Papua New Guinea.
  • B. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • C. Tyap language
    Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
  • D. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • E. Tadaksahak language
    The Tadaksahak language is a Northern Songhay language spoken primarily by the pastoralist Tadaksahak (Idaksahak) people of Mali, influenced by both Berber and Tuareg languages.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28f043081909a9a9ab635785933 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a871a84819098891f66c6e5b579 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:14 p.m.