Triple

T9936646
Position Surface form Disambiguated ID Type / Status
Subject BK117 D-2 E193975 entity
Predicate partOfSeries P1761 FINISHED
Object BK117 family
The BK117 family is a series of twin-engine, multi-purpose helicopters developed for roles such as emergency medical services, search and rescue, and utility transport.
 E193975 NE FINISHED

How this triple was built (4 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: BK117 family | Statement: [BK117 D-2, partOfSeries, BK117 family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BK117 family
Context triple: [BK117 D-2, partOfSeries, BK117 family]
  • A. BK117 D‑2
    The BK117 D‑2, better known as the Airbus H145, is a twin‑engine light utility helicopter widely used for emergency medical services, law enforcement, and civilian transport.
  • B. BN11
    BN11 is a postal district within the BN postcode area, covering part of Worthing on the south coast of West Sussex, England.
  • C. BS11
    BS11 is a Japanese satellite television channel known for broadcasting anime and other entertainment programming nationwide.
  • D. BKL
    BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
  • E. BKL
    BKL is the FAA airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BK117 family
Triple: [BK117 D-2, partOfSeries, BK117 family]
Generated description
The BK117 family is a series of twin-engine, multi-purpose helicopters developed for roles such as emergency medical services, search and rescue, and utility transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BK117 family
Target entity description: The BK117 family is a series of twin-engine, multi-purpose helicopters developed for roles such as emergency medical services, search and rescue, and utility transport.
  • A. BK117 D‑2 chosen
    The BK117 D‑2, better known as the Airbus H145, is a twin‑engine light utility helicopter widely used for emergency medical services, law enforcement, and civilian transport.
  • B. BN11
    BN11 is a postal district within the BN postcode area, covering part of Worthing on the south coast of West Sussex, England.
  • C. BS11
    BS11 is a Japanese satellite television channel known for broadcasting anime and other entertainment programming nationwide.
  • D. BKL
    BKL is an alternative name for the Big Circle Line, a major circular metro line in Moscow’s rapid transit system.
  • E. BKL
    BKL is the FAA airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • F. None of above.

Provenance (5 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228e7247c81908dbba76199f2e93f completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22a2831348190909b9507edfe49f3 completed April 5, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69d22af8914c8190a8116a37a42b633c completed April 5, 2026, 9:27 a.m.
Created at: March 30, 2026, 8:44 p.m.