Triple

T15968901
Position Surface form Disambiguated ID Type / Status
Subject Löhne E387268 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HF E1186063 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: HF | Statement: [Löhne, vehicleRegistrationCode, HF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HF
Context triple: [Löhne, vehicleRegistrationCode, HF]
  • A. HF
    HF is the former IATA airline designator for Hapag-Lloyd Flug, a now-defunct German leisure airline.
  • B. HF chosen
    HF is the vehicle registration code used on license plates for vehicles registered in the Hiddenhausen area of Germany.
  • C. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • D. HV
    HV is the IATA airline designator used by Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
  • E. HV
    HV is the common nickname for HV71, a professional ice hockey club based in Jönköping, Sweden.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c5a7d48190891e69314e67e9af completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.