Triple

T17254118
Position Surface form Disambiguated ID Type / Status
Subject Auckland Airport E418834 entity
Predicate locatedInSuburb P40 FINISHED
Object Mangere E240420 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: Mangere | Statement: [Auckland Airport, locatedInSuburb, Mangere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangere
Context triple: [Auckland Airport, locatedInSuburb, Mangere]
  • A. Mangere chosen
    Mangere is a suburb of Auckland, New Zealand, known for its large Pacific Islander communities and proximity to Auckland Airport.
  • B. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • C. Djursholm
    Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
  • D. Grorud
    Grorud is a borough in the northeastern part of Oslo, Norway, known for its residential areas, green spaces, and diverse population.
  • E. Vällingby
    Vällingby is a suburban district in western Stockholm, Sweden, known as a pioneering post-war planned community and modernist housing area.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6b2b1c8190b446ce648ecaad80 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170fd7f7c81908f417fa758e861a2 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.