Triple

T25310904
Position Surface form Disambiguated ID Type / Status
Subject I-SID E634603 entity
Predicate mappedFrom P128421 FINISHED
Object customer service identifiers 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: customer service identifiers | Statement: [I-SID, mappedFrom, customer service identifiers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mappedFrom
Context triple: [I-SID, mappedFrom, customer service identifiers]
  • A. mappedUsing
    Indicates that one entity is associated or transformed into another entity through a specified mapping method or mechanism.
  • B. mappingSource chosen
    Indicates that one entity serves as the origin or provider of a mapping or correspondence that defines how elements relate between two representations or systems.
  • C. mapped
    Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
  • D. mapsTo
    Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
  • E. mappingBy
    Indicates that one entity is related to another through a defined mapping or association, specifying which side or field governs the relationship.
  • 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_69e75a972c6481909bc11710e8d30a6c completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4939e84dc8190bef761d9bfee08a6 completed May 1, 2026, 11:50 a.m.
PD Predicate disambiguation batch_69f45d06d0388190b36ecde92013624a completed May 1, 2026, 7:57 a.m.
Created at: April 21, 2026, 1:26 p.m.