Triple

T31083628
Position Surface form Disambiguated ID Type / Status
Subject Global Location Number E792169 entity
Predicate hasCheckDigitAlgorithm P11854 FINISHED
Object GS1 modulo-10 algorithm 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: GS1 modulo-10 algorithm | Statement: [Global Location Number, hasCheckDigitAlgorithm, GS1 modulo-10 algorithm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCheckDigitAlgorithm
Context triple: [Global Location Number, hasCheckDigitAlgorithm, GS1 modulo-10 algorithm]
  • A. hasCheckDigit
    Indicates that an identifier or code includes a calculated check digit used to verify its correctness or integrity.
  • B. checkDigitAlgorithm chosen
    Indicates the algorithm or method used to compute or validate a check digit for an identifier or code.
  • C. hasRoutingCodeDigit
    Indicates that an entity’s routing code contains a specific digit at a particular position or as part of its structure.
  • D. hasDigitCount
    Indicates that one entity has a total number of digits equal to the value specified by the other entity.
  • E. hasAlgorithmName
    Indicates that an entity is associated with or identified by a specific algorithm name.
  • 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_69fd57ba740c8190bd1d40166fccccb7 completed May 8, 2026, 3:25 a.m.
PD Predicate disambiguation batch_69fd55ee82b881908a639da3a41b3af6 completed May 8, 2026, 3:18 a.m.
Created at: April 29, 2026, 9:02 p.m.