Triple

T21472927
Position Surface form Disambiguated ID Type / Status
Subject Motu people E529776 entity
Predicate language P15 FINISHED
Object Motu language NE NERFINISHED

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: Motu language | Statement: [Motu people, language, Motu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motu language
Context triple: [Motu people, language, Motu language]
  • A. Motu language chosen
    Motu is an Austronesian language of Papua New Guinea, traditionally spoken around the Port Moresby area and known for its role in regional trade and communication.
  • B. Teiwa language
    Teiwa language is a Papuan language spoken by the Teiwa people on Pantar Island in eastern Indonesia.
  • C. Hiri Motu language
    Hiri Motu is an Austronesian-based lingua franca of Papua New Guinea, historically used for trade and administration around the Port Moresby region.
  • D. Vaeakau-Taumako language
    The Vaeakau-Taumako language is a Polynesian Outlier language spoken primarily in the Temotu Province of the Solomon Islands, known for preserving many archaic features of Proto-Polynesian.
  • E. Kapingamarangi language
    The Kapingamarangi language is a Polynesian outlier language spoken primarily on Kapingamarangi Atoll in the Federated States of Micronesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea156dac819087c4594d022d3df6 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.