Triple

T4990072
Position Surface form Disambiguated ID Type / Status
Subject Tabiteuea E112107 entity
Predicate mainLanguage P1252 FINISHED
Object Gilbertese E248913 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: [Tabiteuea, mainLanguage, Gilbertese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilbertese
Context triple: [Tabiteuea, mainLanguage, Gilbertese]
  • A. Gilbertese language chosen
    Gilbertese is an Austronesian language spoken primarily in Kiribati and parts of Fiji and the Solomon Islands, serving as the main indigenous language of the Kiribati people.
  • B. 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.
  • C. Solomon Islands Pijin
    Solomon Islands Pijin is an English-based creole language widely used as a lingua franca across the Solomon Islands.
  • D. Tokelauan
    Tokelauan refers to the Polynesian people indigenous to Tokelau and their associated language and culture.
  • E. Marshallese language
    Marshallese is an Austronesian language spoken primarily in the Republic of the Marshall Islands, known for its complex system of consonants and vowel allophones influenced by surrounding oceanic 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727fe55881909d42e41b832b9ece completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a282dd08190a29b92e8e825a3bb completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.