Triple

T1773717
Position Surface form Disambiguated ID Type / Status
Subject EIDE E38931 entity
Predicate standardizedAs P1371 FINISHED
Object ATA-2 E200265 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: ATA-2 | Statement: [EIDE, standardizedAs, ATA-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATA-2
Context triple: [EIDE, standardizedAs, ATA-2]
  • A. ATA-2 chosen
    ATA-2 is a version of the Enhanced IDE (EIDE) computer storage interface standard that improved data transfer performance and drive support over earlier ATA specifications.
  • B. ATA-1
    ATA-1 is the first generation of the ATA (AT Attachment) interface standard used to connect storage devices like hard drives and optical drives to a computer’s motherboard.
  • C. ATA-3
    ATA-3 is the third generation of the AT Attachment (ATA) interface standard for connecting storage devices like hard drives and optical drives to computers, introducing enhancements in performance and reliability over earlier versions.
  • D. ATR 42
    The ATR 42 is a twin-turboprop, short-haul regional airliner developed by the French-Italian manufacturer ATR, widely used by airlines for commuter and regional routes.
  • E. AC-10
    AC-10 was a class of Southern Pacific Railroad cab-forward articulated steam locomotives built for heavy freight service over mountainous routes.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b59428819082e0d43a61f4f299 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c96694819085f3ccafb141802f completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.