Triple

T19029542
Position Surface form Disambiguated ID Type / Status
Subject Gisborne wine region E465698 entity
Predicate locatedNear P294 FINISHED
Object Gisborne city E104710 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: Gisborne city | Statement: [Gisborne wine region, locatedNear, Gisborne city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gisborne city
Context triple: [Gisborne wine region, locatedNear, Gisborne city]
  • A. Gisborne chosen
    Gisborne is a coastal city on the northeastern tip of New Zealand’s North Island, known for its wineries, surf beaches, and being one of the first places in the world to see the sunrise.
  • B. Wanganui
    Wanganui is a city and surrounding region on New Zealand’s North Island, known for the Whanganui River and its strong rugby culture.
  • C. Wanganui
    Wanganui is a rural locality within the Byron Shire region of New South Wales, Australia.
  • D. Kororāreka
    Kororāreka is the original Māori name for the historic Bay of Islands settlement now known as Russell, one of New Zealand’s earliest European towns and a key site in early colonial and missionary history.
  • E. Tauranga
    Tauranga is a major coastal city and port in the Bay of Plenty region of New Zealand, known for its beaches, harbor, and growing economic and tourism sectors.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73f98dc81909acbb366f00d2d54 completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a084b6ee5788190abc51a6ee4123ba3 completed May 16, 2026, 10:48 a.m.
Created at: April 10, 2026, 12:02 p.m.