Triple

T780814
Position Surface form Disambiguated ID Type / Status
Subject Kiribati E16491 entity
Predicate officialLanguage P236 FINISHED
Object Gilbertese E26702 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 | Statement: [Kiribati, officialLanguage, Gilbertese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilbertese
Context triple: [Kiribati, officialLanguage, Gilbertese]
  • A. 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.
  • B. Solomon Islands Pijin
    Solomon Islands Pijin is an English-based creole language widely used as a lingua franca across the Solomon Islands.
  • C. Nauruan
    Nauruan is an Austronesian language spoken primarily on the Pacific island nation of Nauru.
  • D. Gilbertese language group chosen
    The Gilbertese language group is a subfamily of Austronesian languages spoken primarily in Kiribati and nearby Pacific islands, characterized by closely related Micronesian languages.
  • E. Palauan
    Palauan is an Austronesian language spoken primarily in the Republic of Palau in the western Pacific Ocean.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a751ea3481908a622d5255249883 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9f13308190b2fccca575e03ec1 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:37 p.m.