Triple

T3067585
Position Surface form Disambiguated ID Type / Status
Subject Hana Airport E62141 entity
Predicate FAA LID P420 FINISHED
Object HNM E62142 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: HNM | Statement: [Hana Airport, FAA LID, HNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HNM
Context triple: [Hana Airport, FAA LID, HNM]
  • A. HNM chosen
    HNM is the IATA airport code for Hana Airport, a small regional airport serving the town of Hana on the island of Maui in Hawaii.
  • B. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • C. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • D. HON
    HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
  • E. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f87bec6c8190ae928fc7c4467859 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.