Triple
T33732210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNRS system of scientific distinctions |
E864301
|
entity |
| Predicate | topDistinction |
P173549
|
FINISHED |
| Object | CNRS Gold Medal |
—
|
NE NERFINISHED |
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: CNRS Gold Medal | Statement: [CNRS system of scientific distinctions, topDistinction, CNRS Gold Medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topDistinction Context triple: [CNRS system of scientific distinctions, topDistinction, CNRS Gold Medal]
-
A.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
B.
topHas
chosen
Indicates that one entity possesses, contains, or is associated with another entity at the highest or most general level in a hierarchy or structure.
-
C.
top
Indicates that one entity is physically positioned above or on the uppermost surface of another entity.
-
D.
peakRanking
Indicates the highest position or rank an entity has ever achieved within a specified ranking system or context.
-
E.
topClass
Indicates that an entity is the most general or highest-level class in a classification or hierarchy, with all other classes falling under it.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:44 a.m.