Triple

T3631642
Position Surface form Disambiguated ID Type / Status
Subject DØ detector E76967 entity
Predicate collaboratingInstitutions P4257 FINISHED
Object international collaboration 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: international collaboration | Statement: [DØ detector, collaboratingInstitutions, international collaboration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collaboratingInstitutions
Context triple: [DØ detector, collaboratingInstitutions, international collaboration]
  • A. parallelInstitution
    Indicates that two institutions exist or operate in a corresponding, side-by-side, or functionally equivalent manner without one being subordinate to the other.
  • B. sponsoringInstitution
    Indicates that an institution provides financial or organizational support to enable or underwrite an activity, project, event, or entity.
  • C. involvesInstitution chosen
    Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
  • D. associatedInstitution
    Indicates that an entity has a formal connection or affiliation with a particular institution.
  • E. institutes
    Indicates that an entity establishes, initiates, or formally sets up another entity, process, or system.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30251d881908284edeb7fe69ad8 completed March 8, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69adb8410a5881909c94818d7060b2b0 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:23 p.m.