Triple

T647139
Position Surface form Disambiguated ID Type / Status
Subject Micronesia E11264 entity
Predicate hasLanguage P15 FINISHED
Object Gilbertese language E48643 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: Gilbertese language | Statement: [Micronesia, hasLanguage, Gilbertese language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilbertese language
Context triple: [Micronesia, hasLanguage, Gilbertese language]
  • A. Gilbertese language group
    The Gilbertese language group is a subfamily of Austronesian languages spoken primarily in Kiribati and nearby Pacific islands, characterized by closely related Micronesian languages.
  • B. Solomon Islands Pijin
    Solomon Islands Pijin is an English-based creole language widely used as a lingua franca across the Solomon Islands.
  • C. Kiribati language chosen
    The Kiribati language, also known as Gilbertese, is an Austronesian language spoken primarily in the island nation of Kiribati in the central Pacific.
  • D. Nauruan
    Nauruan is an Austronesian language spoken primarily on the Pacific island nation of Nauru.
  • E. Tok Pisin
    Tok Pisin is an English-based creole language widely spoken in Papua New Guinea, where it serves as a major lingua franca and one of the country’s primary official 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1cb24481909d3b41a56b29dee9 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a59145fbbc8190b60b8bc420a3643c completed March 2, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:36 p.m.