Triple
T1160880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NA61/SHINE |
E24486
|
entity |
| Predicate | hasCollaborationSize |
P5335
|
FINISHED |
| Object | over 100 scientists |
—
|
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: over 100 scientists | Statement: [NA61/SHINE, hasCollaborationSize, over 100 scientists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollaborationSize Context triple: [NA61/SHINE, hasCollaborationSize, over 100 scientists]
-
A.
collaborationSize
chosen
Indicates the number of participants involved together in a given collaborative relationship or activity.
-
B.
isCollaboration
Indicates that two or more entities are jointly working together toward a shared goal or producing something in partnership.
-
C.
collaborationModel
Indicates the type or structure of cooperative interaction or joint work established between entities.
-
D.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
E.
collectionSize
Indicates the total number of items contained within a specified collection.
- 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.