Triple

T31762041
Position Surface form Disambiguated ID Type / Status
Subject FTSC E810705 entity
Predicate isVendorSpecificCode P116114 FINISHED
Object true 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: true | Statement: [FTSC, isVendorSpecificCode, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isVendorSpecificCode
Context triple: [FTSC, isVendorSpecificCode, true]
  • A. hasDataVendorCode
    Indicates that an entity is associated with a specific vendor-assigned code used to identify its data source or provider.
  • B. isVendorNeutral
    Indicates that something is not biased toward, affiliated with, or dependent on any particular vendor or supplier.
  • C. vendorSpecific chosen
    Indicates that something is defined, implemented, or applicable only for a particular vendor, rather than being generic or standardized.
  • D. isOfficialCodeFor
    Indicates that one entity serves as the formally recognized or authorized code that designates or identifies another entity.
  • E. hasTypeOfVendor
    Indicates that an entity is associated with or classified under a specific category or type of vendor.
  • 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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab81a81c81908236f2956569b4a8 completed May 3, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69f6aa21f2508190a204a424ffc00ca6 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:31 p.m.