Triple

T28608632
Position Surface form Disambiguated ID Type / Status
Subject VSAM E724117 entity
Predicate supportsDataSetType P24486 FINISHED
Object KSDS LITERAL 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: KSDS | Statement: [VSAM, supportsDataSetType, KSDS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsDataSetType
Context triple: [VSAM, supportsDataSetType, KSDS]
  • A. dataTypes
    Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
  • B. supportsDatastoreType
    Indicates that one entity is capable of working with, handling, or being compatible with a specified type of datastore.
  • C. dataSupports
    Indicates that one piece of data provides evidence, justification, or backing for the validity or reliability of another piece of data, claim, or conclusion.
  • D. supportsType chosen
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • E. supportsDataFrom
    Indicates that one entity provides, validates, or underpins the data used or referenced by another entity.
  • F. None of above.

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_69f01d816d7c8190a1fe27e3434041dc completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_6a013e23698c81909a32d371b6f158d0 completed May 11, 2026, 2:25 a.m.
PD Predicate disambiguation batch_6a013db04b108190985897aa6e95b4ec completed May 11, 2026, 2:23 a.m.
Created at: April 28, 2026, 4:29 a.m.