Triple

T8455370
Position Surface form Disambiguated ID Type / Status
Subject H175 E199905 entity
Predicate previousDesignation P65 FINISHED
Object EC175 E199905 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: EC175 | Statement: [H175, previousDesignation, EC175]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EC175
Context triple: [H175, previousDesignation, EC175]
  • A. H175 chosen
    The H175 is a medium-lift, twin-engine helicopter developed by Airbus Helicopters, widely used for offshore transport, search and rescue, and other civil missions.
  • B. Embraer 175
    The Embraer 175 is a regional jet airliner designed for short- to medium-haul routes, widely used by airlines for its efficient performance and comfortable 70–88 seat cabin.
  • C. Embraer 170
    The Embraer 170 is a regional jet airliner designed and produced by Brazilian manufacturer Embraer, typically seating around 70 passengers for short- to medium-haul routes.
  • D. Embraer ERJ 145
    The Embraer ERJ 145 is a Brazilian-built regional jet airliner widely used for short-haul passenger and military transport operations.
  • E. Embraer ERJ 135
    The Embraer ERJ 135 is a Brazilian-built regional jet airliner designed for short-haul passenger service, widely used by both commercial airlines and military operators.
  • 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_69ce1de232508190803fd2dad21e677f completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.