Triple

T3746566
Position Surface form Disambiguated ID Type / Status
Subject Leonardo Helicopters E81223 entity
Predicate notableProduct P1448 FINISHED
Object NH90 E37062 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: NH90 | Statement: [Leonardo Helicopters, notableProduct, NH90]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NH90
Context triple: [Leonardo Helicopters, notableProduct, NH90]
  • A. NH90 helicopter chosen
    The NH90 helicopter is a modern, medium-sized, twin-engine military helicopter developed through a European collaboration for tactical transport and naval operations.
  • B. AH-6J
    The AH-6J is a modernized special operations variant of the MH-6/AH-6 Little Bird light attack helicopter, optimized for precision fire support and close air support missions.
  • C. AW109E Power naval helicopter
    The AW109E Power naval helicopter is a lightweight, twin-engine maritime helicopter used for patrol, surveillance, and utility missions by naval forces.
  • D. AW139 helicopter
    The AW139 helicopter is a medium-sized, twin-engine multipurpose helicopter widely used worldwide for roles such as search and rescue, offshore transport, and executive transport.
  • E. MH-26
    MH-26 is the regional vehicle registration code assigned to the Nanded district in the Indian state of Maharashtra.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb69887c8190a3f1188ec85727b0 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2c2c5081909b83d89c989a8d1c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.