Triple

T10511542
Position Surface form Disambiguated ID Type / Status
Subject Point Cruz E247925 entity
Predicate hasLanguage P15 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: [Point Cruz, hasLanguage, Solomon Islands Pijin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solomon Islands Pijin
Context triple: [Point Cruz, hasLanguage, 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b5fcb8819087a23a2b26aecd70 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90de6e9508190a1cdf348ec542dd5 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:27 p.m.