Triple

T1789343
Position Surface form Disambiguated ID Type / Status
Subject SAS-3 E39459 entity
Predicate precedes P97 FINISHED
Object SAS-4 E40311 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-4 | Statement: [SAS-3, precedes, SAS-4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAS-4
Context triple: [SAS-3, precedes, SAS-4]
  • A. SAS-4 chosen
    SAS-4 is the fourth-generation Serial Attached SCSI (SAS) interface standard that significantly increases data transfer speeds and bandwidth for enterprise storage systems.
  • B. 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.
  • C. 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.
  • D. S-44
    S-44 is an International Hydrographic Organization standard that defines the accuracy and quality requirements for hydrographic surveys used in nautical charting and marine navigation.
  • E. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65111e5481909c22abb6ad966814 completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9a4ee9c8190a6cdb5df16a48711 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.