Triple

T7532467
Position Surface form Disambiguated ID Type / Status
Subject Isabel Province E178058 entity
Predicate localLanguages P10892 FINISHED
Object Solomon Islands Pijin E7171 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: Solomon Islands Pijin | Statement: [Isabel Province, localLanguages, Solomon Islands Pijin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solomon Islands Pijin
Context triple: [Isabel Province, localLanguages, Solomon Islands Pijin]
  • A. Solomon Islands Pijin chosen
    Solomon Islands Pijin is an English-based creole language widely used as a lingua franca across the Solomon Islands.
  • 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. Melanesian Pidgin
    Melanesian Pidgin is an English-based creole language widely used as a lingua franca in parts of Melanesia, particularly Papua New Guinea.
  • D. Nauruan
    Nauruan is an Austronesian language spoken primarily on the Pacific island nation of Nauru.
  • E. Marovo language
    The Marovo language is an Oceanic language spoken primarily in the Western Province of the Solomon Islands, especially around the Marovo Lagoon.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84753fc81908bee2013004ef5fb completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f03485c8190829beb95a8be0236 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:47 p.m.