Triple
T2559554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolas Sarkozy |
E57209
|
entity |
| Predicate | presidentialTermNumber |
P152
|
FINISHED |
| Object | 23rd President of the French Republic |
—
|
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: 23rd President of the French Republic | Statement: [Nicolas Sarkozy, presidentialTermNumber, 23rd President of the French Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialTermNumber Context triple: [Nicolas Sarkozy, presidentialTermNumber, 23rd President of the French Republic]
-
A.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
B.
termCountAsPresident
chosen
Indicates the number of terms an individual has served in the role of president.
-
C.
legislativeTermNumber
Indicates the ordinal number assigned to a specific legislative term within a sequence of legislative periods.
-
D.
presidentTermStart
Indicates the date or point in time when an individual officially begins serving as president of an entity.
-
E.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.