Triple

T7973659
Position Surface form Disambiguated ID Type / Status
Subject Kaimbulawa language E185387 entity
Predicate macroArea P12634 FINISHED
Object Papunesia E157642 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: Papunesia | Statement: [Kaimbulawa language, macroArea, Papunesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Papunesia
Context triple: [Kaimbulawa language, macroArea, Papunesia]
  • A. Papunesia chosen
    Papunesia is a linguistic-geographical region encompassing the islands of New Guinea and surrounding archipelagos, notable for its extreme language diversity and complex cultural histories.
  • B. Mapun
    Mapun is an Austronesian language spoken primarily by the Mapun people of the southern Philippines, particularly on Mapun (Cagayan de Sulu) Island in the Sulu Sea.
  • C. Polino
    Polino is a small mountain village and municipality in the Umbria region of central Italy, known for its scenic Apennine landscapes and traditional rural character.
  • D. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • E. Mangaia
    Mangaia is the southernmost and second-largest of the Cook Islands, known for its rugged limestone cliffs, ancient makatea landscape, and rich Polynesian culture.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf319648190a900b133d58bd02b completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0bb089881909d3ec17a3330ce25 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.