Triple
T10454912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNRS Silver Medal |
E246525
|
entity |
| Predicate | awardedInDiscipline |
P67362
|
FINISHED |
| Object | physics |
—
|
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: physics | Statement: [CNRS Silver Medal, awardedInDiscipline, physics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedInDiscipline Context triple: [CNRS Silver Medal, awardedInDiscipline, physics]
-
A.
hasAwardedDisciplines
chosen
Indicates that an entity has granted awards in specific academic or professional disciplines.
-
B.
hasAwardedDiscipline
Indicates that one entity has formally imposed or granted a disciplinary action or sanction upon another entity.
-
C.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
-
D.
associatedWithDiscipline
Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
-
E.
hasSeparateAwardFor
Indicates that there exists a distinct, dedicated award specifically recognizing the related entity, separate from other general or combined awards.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe47fee48190b38ec0466ff0165a |
completed | April 7, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:17 p.m.