Triple
T9339514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsieur le Garde des Sceaux |
E224727
|
entity |
| Predicate | correspondsToFunction |
P23285
|
FINISHED |
| Object | head of judicial administration in France |
—
|
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: head of judicial administration in France | Statement: [Monsieur le Garde des Sceaux, correspondsToFunction, head of judicial administration in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToFunction Context triple: [Monsieur le Garde des Sceaux, correspondsToFunction, head of judicial administration in France]
-
A.
associatedFunction
chosen
Indicates that one entity has a related or linked function that is conceptually or operationally connected to it.
-
B.
usesFunction
Indicates that one entity employs, invokes, or relies on a particular function to perform an operation or achieve a result.
-
C.
containsFunction
Indicates that one entity includes, defines, or provides the implementation of a particular function.
-
D.
coordinateFunction
Indicates a functional relationship that maps or translates one set of coordinates to another within a defined space or system.
-
E.
assignedFunction
Indicates that a specific role, duty, or function has been formally allocated to an entity.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bace8488190a18c54e03be8410c |
completed | April 1, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.