Triple

T17118477
Position Surface form Disambiguated ID Type / Status
Subject Terminal 1 (Helsinki Airport) E415400 entity
Predicate IATAAirportCodeOfParent P2569 FINISHED
Object HEL E412706 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: HEL | Statement: [Terminal 1 (Helsinki Airport), IATAAirportCodeOfParent, HEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HEL
Context triple: [Terminal 1 (Helsinki Airport), IATAAirportCodeOfParent, HEL]
  • A. HEL chosen
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • B. HE
    HE is the Faculty of Health at Aarhus University, responsible for education and research in medical and health sciences.
  • C. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • D. EH
    EH is the IATA airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
  • E. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8086a388190a655a044feccab14 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0e11108190bfcf858142aa9ff3 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.