Triple

T17254098
Position Surface form Disambiguated ID Type / Status
Subject Auckland Airport E418834 entity
Predicate IATACode P418 FINISHED
Object AKL E88269 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: AKL | Statement: [Auckland Airport, IATACode, AKL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AKL
Context triple: [Auckland Airport, IATACode, AKL]
  • A. 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.
  • B. Tokua Airport
    Tokua Airport is the main commercial airport serving East New Britain Province in Papua New Guinea, acting as the primary air gateway to the regional center of Kokopo and nearby Rabaul.
  • C. Aucklander
    An Aucklander is a resident or native of Auckland, the largest city in New Zealand.
  • D. Coraki
    Coraki is a small town in northern New South Wales, Australia, situated at the junction of the Richmond and Wilsons rivers.
  • E. Auckland Airport chosen
    Auckland Airport is New Zealand’s largest and busiest international airport, serving as the main air gateway to the city of Auckland and the wider North Island.
  • 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.