Triple
T7052103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conseiller constitutionnel |
E163990
|
entity |
| Predicate | termStaggering |
P42270
|
FINISHED |
| Object | one third renewed every three years |
—
|
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: one third renewed every three years | Statement: [Conseiller constitutionnel, termStaggering, one third renewed every three years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStaggering Context triple: [Conseiller constitutionnel, termStaggering, one third renewed every three years]
-
A.
hasStaggeredTerms
chosen
Indicates that the members or positions within a body or group serve overlapping terms that begin and end at different times rather than all simultaneously.
-
B.
termFixedBy
Indicates that a term is determined, constrained, or made unchangeable by another entity or condition.
-
C.
termFilled
Indicates that a specific term, field, or placeholder has been completed or populated with a value.
-
D.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
E.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.