Triple

T8284948
Position Surface form Disambiguated ID Type / Status
Subject OSA-Express networking E193765 entity
Predicate hasVersion P455 FINISHED
Object OSA-Express5S E193765 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: OSA-Express5S | Statement: [OSA-Express networking, hasVersion, OSA-Express5S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSA-Express5S
Context triple: [OSA-Express networking, hasVersion, OSA-Express5S]
  • A. OSA-Express networking chosen
    OSA-Express networking is IBM’s high-speed, integrated network adapter technology for mainframe systems, providing advanced Ethernet and IP connectivity for IBM System z environments.
  • B. OXC
    OXC is the three-letter station code for Oxford Circus, a major London Underground interchange in the West End.
  • C. OSN
    OSN is the IATA airport code for Osan Air Base, a major United States Air Force installation in South Korea.
  • D. Xpress GA
    Xpress GA is a regional commuter bus service in Georgia that connects suburban areas like Clayton County with major employment and activity centers in the Atlanta metropolitan area.
  • E. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd687e64a08190a45a1cf5f5c32291 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.