Triple

T6755881
Position Surface form Disambiguated ID Type / Status
Subject Kanak E154456 entity
Predicate speak P741 FINISHED
Object Paicî E600739 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: Paicî | Statement: [Kanak, speak, Paicî]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paicî
Context triple: [Kanak, speak, 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. Paihia
    Paihia is a popular coastal town in New Zealand’s Bay of Islands, known as a gateway to the historic Waitangi Treaty Grounds and for its scenic beaches and marine activities.
  • D. Peki'in
    Peki'in is an ancient village in northern Israel known for its continuous Jewish presence over centuries and its historical, religious, and archaeological significance.
  • E. Pialligo
    Pialligo is a suburb of Canberra in the Australian Capital Territory, known for its rural character, nurseries, and proximity to Canberra Airport.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f5ab0881908619b835b9f068d4 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a78feb8819084314c2ae043d289 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:11 p.m.