Triple

T10257802
Position Surface form Disambiguated ID Type / Status
Subject Banks Islands E240517 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Mota language E655582 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: Mota language | Statement: [Banks Islands, hasNotableLanguage, Mota language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mota language
Context triple: [Banks Islands, hasNotableLanguage, Mota language]
  • A. Mota language chosen
    Mota language is an Oceanic language of Vanuatu historically notable as an early Christian mission lingua franca in the region.
  • B. Molbog language
    The Molbog language is an Austronesian language spoken by the Molbog people of southern Palawan in the Philippines and parts of northern Borneo.
  • C. Muya language
    The Muya language is a lesser-known Sino-Tibetan language spoken by the Muya people in parts of Sichuan, China, noted for its complex phonology and endangered status.
  • D. Motu language
    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.
  • E. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24de4588190b68fb3daa36dbd7d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7e153b0819084708b6f7127cdea completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:31 a.m.