Triple

T3174593
Position Surface form Disambiguated ID Type / Status
Subject Malmö Redhawks E66430 entity
Predicate hasRival P1375 FINISHED
Object HV71 E331602 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: HV71 | Statement: [Malmö Redhawks, hasRival, HV71]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HV71
Context triple: [Malmö Redhawks, hasRival, HV71]
  • A. HV71 chosen
    HV71 is a professional ice hockey club from Jönköping, Sweden, competing in the country’s top leagues and known as one of the prominent teams in Swedish hockey.
  • B. HM7B
    The HM7B is a European cryogenic rocket engine that powers the upper stages of Ariane launch vehicles, providing precise orbital insertion using liquid hydrogen and liquid oxygen propellants.
  • C. H175
    The H175 is a medium-lift, twin-engine helicopter developed by Airbus Helicopters, widely used for offshore transport, search and rescue, and other civil missions.
  • D. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • E. H130
    The H130 is a light single-engine helicopter developed by Airbus Helicopters, widely used for passenger transport, sightseeing, and medical evacuation due to its spacious cabin and low noise levels.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada670c800819098937783e2b05c7a completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235edf7708190b79605a05baf1711 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.