Triple

T6423820
Position Surface form Disambiguated ID Type / Status
Subject Oceanic languages E128008 entity
Predicate hasMember P10 FINISHED
Object Tolai language E155830 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: Tolai language | Statement: [Oceanic languages, hasMember, Tolai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolai language
Context triple: [Oceanic languages, hasMember, Tolai language]
  • A. Tolai language chosen
    The Tolai language is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • B. Bontok language
    The Bontok language is an Austronesian language spoken by the Bontok people of the Mountain Province in the northern Philippines, known for its rich oral traditions and distinct dialects.
  • C. Banggai language
    The Banggai language is an Austronesian language spoken by the Banggai people in the Banggai Islands and nearby coastal areas of Central Sulawesi, Indonesia.
  • D. Tubatulabal language
    The Tubatulabal language is an endangered Uto-Aztecan language traditionally spoken by the Tubatulabal people of the southern Sierra Nevada region in California.
  • E. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06906eea88190a445c1ff1169c2b1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640dc01188190b67290801aae0d6c completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:43 p.m.