Triple

T12066068
Position Surface form Disambiguated ID Type / Status
Subject Bell 412 E287297 entity
Predicate hasVariant P455 FINISHED
Object Bell 412HP E287297 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: Bell 412HP | Statement: [Bell 412, hasVariant, Bell 412HP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bell 412HP
Context triple: [Bell 412, hasVariant, Bell 412HP]
  • A. Bell 412 chosen
    The Bell 412 is a twin-engine utility helicopter widely used around the world for military, law enforcement, and civilian transport and rescue operations.
  • B. Bell 407
    The Bell 407 is a popular four-blade, single-engine civil utility helicopter widely used for corporate transport, emergency medical services, law enforcement, and utility missions.
  • C. Airbus H145
    The Airbus H145 is a twin-engine light utility helicopter widely used for emergency medical services, law enforcement, and civilian transport due to its versatility, advanced avionics, and high performance.
  • D. Bell 212 helicopter
    The Bell 212 helicopter is a twin-engine, medium utility helicopter widely used for military transport, search and rescue, and general support missions around the world.
  • E. Bell 429
    The Bell 429 is a light twin-engine helicopter widely used for corporate transport, emergency medical services, and law enforcement due to its advanced avionics, spacious cabin, and performance.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7c2b0081909994ea88683a39f4 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:48 p.m.