Triple

T31083828
Position Surface form Disambiguated ID Type / Status
Subject UPC-E E792173 entity
Predicate numberSystemSupport P13398 FINISHED
Object 0 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: 0 | Statement: [UPC-E, numberSystemSupport, 0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberSystemSupport
Context triple: [UPC-E, numberSystemSupport, 0]
  • A. hasNumberSystem
    Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
  • B. supportedSystem chosen
    Indicates that one entity provides compatibility, functionality, or operational support for another system.
  • C. numberingSystemBasedOn
    Indicates that one numbering system is derived from, structured according to, or conceptually dependent on another numbering system.
  • D. 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.
  • E. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined 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_69f224ce48348190bd0fc23f656ed683 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a00c3362dcc819096e49b882709fddd completed May 10, 2026, 5:41 p.m.
PD Predicate disambiguation batch_6a00c2e5cdd88190a5f2d0f6a843cd56 completed May 10, 2026, 5:39 p.m.
Created at: April 29, 2026, 9:02 p.m.