Triple

T15853233
Position Surface form Disambiguated ID Type / Status
Subject AW family of helicopters E384391 entity
Predicate includesModel P1393 FINISHED
Object AW009
The AW009 is a light single-engine helicopter developed by Leonardo as part of its AW family, intended for roles such as training, utility, and law enforcement operations.
 E1179412 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: AW009 | Statement: [AW family of helicopters, includesModel, AW009]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AW009
Context triple: [AW family of helicopters, includesModel, AW009]
  • A. A-09
    A-09 is the internal station code used by the New York City Subway to identify the 96th Street station on the IND Eighth Avenue Line.
  • B. A90
    A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
  • C. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • D. A9
    The A9 is a major trunk road in Scotland that runs from Falkirk to Scrabster, serving as one of the country’s primary north–south transport routes.
  • E. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • 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: AW009
Triple: [AW family of helicopters, includesModel, AW009]
Generated description
The AW009 is a light single-engine helicopter developed by Leonardo as part of its AW family, intended for roles such as training, utility, and law enforcement operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AW009
Target entity description: The AW009 is a light single-engine helicopter developed by Leonardo as part of its AW family, intended for roles such as training, utility, and law enforcement operations.
  • A. A-09
    A-09 is the internal station code used by the New York City Subway to identify the 96th Street station on the IND Eighth Avenue Line.
  • B. A90
    A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
  • C. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • D. A9
    The A9 is a major trunk road in Scotland that runs from Falkirk to Scrabster, serving as one of the country’s primary north–south transport routes.
  • E. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • F. None of above. chosen

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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caddd2c8190859b2926b0e1ad35 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41a86ec8190b46d541965ecf26e completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa496f3e48190b8dc82bece548aec completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.