Triple

T15948715
Position Surface form Disambiguated ID Type / Status
Subject Battle of Cape Teulada E386756 entity
Predicate involvesUnit P1063 FINISHED
Object Force H E365710 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: Force H | Statement: [Battle of Cape Teulada, involvesUnit, Force H]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Force H
Context triple: [Battle of Cape Teulada, involvesUnit, Force H]
  • A. Force H chosen
    Force H was a British Royal Navy task force based at Gibraltar during World War II, known for its key role in Mediterranean and Atlantic naval operations.
  • B. Force G
    Force G was a British Royal Navy task force that operated in the South Atlantic during World War II, notably involved in hunting German surface raiders.
  • C. High Force
    High Force is a famous and powerful waterfall on the River Tees in northern England, renowned for its dramatic drop through the Pennine landscape.
  • D. HF
    HF is the former IATA airline designator for Hapag-Lloyd Flug, a now-defunct German leisure airline.
  • E. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c207588190a3d17e5f09d12997 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.