Triple

T11144035
Position Surface form Disambiguated ID Type / Status
Subject New Zealand North Island E263626 entity
Predicate containsCity P294 FINISHED
Object Tauranga E94686 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: Tauranga | Statement: [New Zealand North Island, containsCity, Tauranga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tauranga
Context triple: [New Zealand North Island, containsCity, Tauranga]
  • A. Tauranga chosen
    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.
  • 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. Timaru
    Timaru is a coastal port town and service center on the east coast of New Zealand’s South Island.
  • D. Palmerston North
    Palmerston North is a major inland city in New Zealand known for its role as an educational and logistical hub, particularly home to Massey University.
  • E. Gisborne
    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.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ace2228c8190936757f5b1eaa1eb completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:28 p.m.