Triple

T31815844
Position Surface form Disambiguated ID Type / Status
Subject TAMSE E812129 entity
Predicate componentSource P53073 FINISHED
Object use of imported components combined with local production for TAM 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: use of imported components combined with local production for TAM | Statement: [TAMSE, componentSource, use of imported components combined with local production for TAM]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: componentSource
Context triple: [TAMSE, componentSource, use of imported components combined with local production for TAM]
  • A. composerSource
    Indicates that one entity is the source or origin of the composer associated with another entity.
  • B. componentFrom
    Indicates that one entity is derived from, produced by, or originates as a component of another entity.
  • C. materialSource chosen
    Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
  • D. component3
    Indicates that one entity is the third component or sub-part within a larger composite structure or system involving another entity.
  • E. commissioningSource
    Indicates the origin or authority (such as an institution, program, or body) that formally granted someone their commission or official appointment.
  • 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_69f348e846c081908eb468a0665afd55 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fcf1b3d9a08190850b388308656266 completed May 7, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69fcf0226d8c8190b23dceafb1794995 completed May 7, 2026, 8:03 p.m.
Created at: April 30, 2026, 11:44 p.m.