Triple

T22156726
Position Surface form Disambiguated ID Type / Status
Subject Te Tauihu-o-te-Waka-a-Māui E547556 entity
Predicate contains P35 FINISHED
Object Picton 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: Picton | Statement: [Te Tauihu-o-te-Waka-a-Māui, contains, Picton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picton
Context triple: [Te Tauihu-o-te-Waka-a-Māui, contains, Picton]
  • A. Picton chosen
    Picton is a small coastal town in New Zealand’s South Island that serves as a major ferry terminal and gateway between the islands.
  • B. Picton
    Picton is a small town in Prince Edward County, Ontario, known as a local hub for visitors exploring nearby parks, wineries, and Lake Ontario beaches.
  • C. Picton
    Picton is a historic town in New South Wales, Australia, known for its colonial-era architecture and location southwest of Sydney.
  • D. La Punta
    La Punta is a planned city in central Argentina known for its rapid development and modern infrastructure within San Luis Province.
  • E. La Punta
    La Punta is a small coastal district of the Constitutional Province of Callao in Peru, known for its beaches, historic architecture, and naval and port-related activities.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a29eb848190b0531ce7e45b1003 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.