Triple

T3881807
Position Surface form Disambiguated ID Type / Status
Subject Mark Hunt E92838 entity
Predicate placeOfBirth P1 FINISHED
Object South Auckland E124960 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: South Auckland | Statement: [Mark Hunt, placeOfBirth, South Auckland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Auckland
Context triple: [Mark Hunt, placeOfBirth, South Auckland]
  • A. Auckland Region chosen
    The Auckland Region is a populous administrative area in northern New Zealand that encompasses the city of Auckland and its surrounding urban and rural communities.
  • B. Auckland
    Auckland is a major New Zealand metropolis known for its harbors, multicultural population, and role as the country’s primary economic and transport hub.
  • C. Wellington Region
    Wellington Region is a southern New Zealand administrative area centered on the capital city of Wellington, encompassing urban, suburban, and rural communities around the lower North Island.
  • D. Christchurch
    Christchurch is a historic coastal town in Dorset, England, known for its medieval priory, natural harbour, and proximity to the New Forest.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8d5c1c8190906294177f3ad49e completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562821c3c81909805cb877288405b completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:20 p.m.