Triple

T21160996
Position Surface form Disambiguated ID Type / Status
Subject Kanak languages E521438 entity
Predicate includeLanguage P2177 FINISHED
Object Paicî NE NERFINISHED

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: Paicî | Statement: [Kanak languages, includeLanguage, Paicî]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paicî
Context triple: [Kanak languages, includeLanguage, Paicî]
  • A. Paicî chosen
    Paicî is an indigenous Austronesian language spoken primarily in the central region of New Caledonia.
  • B. Pialba
    Pialba is a coastal suburb and commercial hub of Hervey Bay in Queensland, Australia, known for its beaches and role as a gateway to Fraser Island.
  • C. Pashang
    Pashang is a legendary king in Persian mythology, known as an early ruler of the land of Turan and ancestor of the hero Afrasiab.
  • D. Parakai
    Parakai is a small settlement in the Auckland Region of New Zealand, known for its natural hot springs and thermal pools.
  • E. Pacanne
    Pacanne was an 18th-century Miami chief known for his influential leadership and diplomatic role in relations between Native American tribes, European powers, and the emerging United States in the Great Lakes region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72530e3388190a170c5a2a19dadfc completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.