Triple

T35405072
Position Surface form Disambiguated ID Type / Status
Subject System for Award Management E1023342 entity
Predicate previouslyUsedIdentifier P199942 FINISHED
Object DUNS number 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: DUNS number | Statement: [System for Award Management, previouslyUsedIdentifier, DUNS number]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslyUsedIdentifier
Context triple: [System for Award Management, previouslyUsedIdentifier, DUNS number]
  • A. nameUsedBefore
    Indicates that a particular name has been used or referenced at an earlier time or in a prior context relative to the current one.
  • B. previouslyUsedNumberDesignationsUntil
    Indicates that certain number designations were used for an entity up until a specified point in time, after which they were no longer in use.
  • C. previouslyIssued
    Indicates that something was issued or released at an earlier time prior to the current reference point.
  • D. previouslyUsedSystem
    Indicates that an entity made use of a particular system at some time in the past, prior to the current context or state.
  • E. previousNameUsedUntil
    Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
  • F. None of above. chosen

Provenance (4 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_69f76df43ca4819098711ca4370f1bb9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff64b957bc81908afbc5914234a8ea completed May 9, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69ff6446593c81909173e296eea2590c completed May 9, 2026, 4:43 p.m.
PDg Predicate description generation batch_69ff64b864f481909fcefc2b08595c89 completed May 9, 2026, 4:45 p.m.
Created at: May 3, 2026, 4:03 p.m.