Triple

T4518826
Position Surface form Disambiguated ID Type / Status
Subject Sukhoi Superjet 100 E103215 entity
Predicate rangeVariant P57186 FINISHED
Object SSJ100B-100 E448636 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: SSJ100B-100 | Statement: [Sukhoi Superjet 100, rangeVariant, SSJ100B-100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSJ100B-100
Context triple: [Sukhoi Superjet 100, rangeVariant, SSJ100B-100]
  • A. SSJ100 chosen
    SSJ100 is a Russian regional jet airliner developed by Sukhoi Civil Aircraft for short- to medium-haul passenger service.
  • B. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • C. S-101
    S-101 is the International Hydrographic Organization’s modern electronic navigational chart standard designed to support next-generation marine navigation systems.
  • D. SS3
    SS3 is an Italian state highway that forms part of the historic Via Flaminia route connecting Rome with central and northeastern Italy.
  • E. BPS-10
    BPS-10 is a mid-level government pay grade in Pakistan’s Basic Pay Scale system, typically assigned to intermediate-level administrative and technical positions.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6231856c8190be9386a0ae15e7cf completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb90b785c81909e76469819f3a487 completed March 20, 2026, 9:15 p.m.
Created at: March 20, 2026, 1:02 p.m.