Triple

T23140118
Position Surface form Disambiguated ID Type / Status
Subject Mou Waho E577436 entity
Predicate accessibleFrom P1985 FINISHED
Object Wanaka 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: Wanaka | Statement: [Mou Waho, accessibleFrom, Wanaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanaka
Context triple: [Mou Waho, accessibleFrom, Wanaka]
  • A. Wanaka chosen
    Wanaka is a resort town in New Zealand’s South Island known for its lakeside setting, outdoor adventure activities, and access to nearby ski fields and national parks.
  • B. Twizel
    Twizel is a small town in New Zealand's Mackenzie District, known as a gateway to outdoor activities such as hiking, fishing, and stargazing in the surrounding alpine and lake landscapes.
  • C. Ngāruawāhia
    Ngāruawāhia is a town in New Zealand’s North Island known as a key Waikato River settlement and an important cultural center for the Māori King Movement.
  • D. Waimate
    Waimate is a small rural town in the South Island of New Zealand, known for its agricultural economy, historic buildings, and proximity to scenic natural landscapes.
  • E. Rangiora
    Rangiora is a large rural service town in the Waimakariri District of New Zealand’s South Island, known as a residential and commercial hub for the surrounding agricultural 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.