Triple

T8470384
Position Surface form Disambiguated ID Type / Status
Subject ATA-2 E200265 entity
Predicate alsoKnownAs P39 FINISHED
Object Fast ATA E40312 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: Fast ATA | Statement: [ATA-2, alsoKnownAs, Fast ATA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fast ATA
Context triple: [ATA-2, alsoKnownAs, Fast ATA]
  • A. FAST
    FAST is a U.S. federal law that authorizes long-term funding and policy for the nation’s surface transportation infrastructure, including highways, transit, and rail.
  • B. Parallel ATA chosen
    Parallel ATA is an older computer interface standard used to connect storage devices like hard drives and optical drives to a motherboard using parallel data transmission.
  • C. Fastiv
    Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
  • D. Fast
    Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
  • E. ATA-5
    ATA-5 is a version of the ATA (IDE) storage interface standard that introduced higher-speed Ultra DMA modes and improved reliability features for hard drives and optical drives.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f234c481909534de6fd702f4cf completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39f45c3081908ea50810f0a386d6 completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:11 p.m.