Triple

T8455238
Position Surface form Disambiguated ID Type / Status
Subject H135 E199903 entity
Predicate formerName P65 FINISHED
Object Eurocopter EC135 E206326 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: Eurocopter EC135 | Statement: [H135, formerName, Eurocopter EC135]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurocopter EC135
Context triple: [H135, formerName, Eurocopter EC135]
  • A. Airbus Helicopters EC135 chosen
    The Airbus Helicopters EC135 is a twin-engine light utility helicopter widely used around the world for military training, law enforcement, emergency medical services, and civilian transport.
  • B. Eurocopter EC635
    The Eurocopter EC635 is a light twin-engine multi-role helicopter widely used for military transport, training, and medical evacuation missions.
  • C. Eurocopter AS532 Cougar
    The Eurocopter AS532 Cougar is a twin-engine, medium-lift military helicopter used worldwide for transport, search and rescue, and tactical operations.
  • 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. Airbus H225
    The Airbus H225 is a long-range, twin-engine heavy-lift helicopter widely used for offshore transport, search and rescue, and military missions.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48e0ae481908b40f7f124b0551e completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf512d294c8190bed7e37991d237c1 completed April 3, 2026, 5:33 a.m.
Created at: March 30, 2026, 6:10 p.m.