Triple
T1160881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NA61/SHINE |
E24486
|
entity |
| Predicate | hasCollaborationInstitutions |
P3814
|
FINISHED |
| Object | universities and laboratories from multiple countries |
—
|
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: universities and laboratories from multiple countries | Statement: [NA61/SHINE, hasCollaborationInstitutions, universities and laboratories from multiple countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollaborationInstitutions Context triple: [NA61/SHINE, hasCollaborationInstitutions, universities and laboratories from multiple countries]
-
A.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
B.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
-
C.
includesInstitution
chosen
Indicates that one entity contains, encompasses, or has as a member a particular institution.
-
D.
relatedInstitution
Indicates that there is an institutional connection or association between two entities, such as affiliation, partnership, or organizational linkage.
-
E.
hasAcademicAffiliation
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb1915081908834ced85d09e299 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.