Triple

T1810102
Position Surface form Disambiguated ID Type / Status
Subject SAS-4 E40311 entity
Predicate backwardCompatibleWith P4635 FINISHED
Object SAS-2 E201686 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: SAS-2 | Statement: [SAS-4, backwardCompatibleWith, SAS-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAS-2
Context triple: [SAS-4, backwardCompatibleWith, SAS-2]
  • A. SAS-2
    SAS-2 is a version of the SAS (Statistical Analysis System) software suite used for advanced data management, statistical analysis, and reporting.
  • B. SAS-2 chosen
    SAS-2 was a NASA Small Astronomy Satellite launched in 1972 that conducted pioneering gamma-ray astronomy observations of cosmic sources.
  • C. SAS-3
    SAS-3 is the third-generation Serial Attached SCSI (SAS) interface standard that significantly increases data transfer rates and performance for enterprise storage systems.
  • D. Apollo Telescope Mount
    The Apollo Telescope Mount was a solar observatory module used on NASA’s Skylab space station to conduct detailed studies of the Sun in multiple wavelengths.
  • E. SAS-1
    SAS-1 is the first generation of the Serial Attached SCSI (SAS) interface standard used for high-speed data transfer between storage devices and host systems.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c461e881908070cb80d9092981 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1bd5f68819080a4fe06e3e1f76d completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:32 p.m.