Triple

T13145706
Position Surface form Disambiguated ID Type / Status
Subject Hela Province E312328 entity
Predicate hasLanguage P15 FINISHED
Object Tok Pisin E49351 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: Tok Pisin | Statement: [Hela Province, hasLanguage, Tok Pisin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tok Pisin
Context triple: [Hela Province, hasLanguage, Tok Pisin]
  • A. Tok Pisin chosen
    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. Melanesian Pidgin
    Melanesian Pidgin is an English-based creole language widely used as a lingua franca in parts of Melanesia, particularly Papua New Guinea.
  • E. Papua New Guinean Hiri Motu
    Papua New Guinean Hiri Motu is an Austronesian-based lingua franca and simplified form of Motu historically used for interethnic communication in Papua New Guinea.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460c05bc819089cdd004bb07c492 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:10 p.m.