Triple
T28772465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French state |
E726447
|
entity |
| Predicate | delegatesTransportCompetencesTo |
P50302
|
FINISHED |
| Object | French regions |
—
|
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: French regions | Statement: [French state, delegatesTransportCompetencesTo, French regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: delegatesTransportCompetencesTo Context triple: [French state, delegatesTransportCompetencesTo, French regions]
-
A.
delegationCharacteristic
Indicates that a specific quality, condition, or attribute is associated with the act or arrangement of delegating responsibilities or authority between entities.
-
B.
delegates
chosen
Indicates that one entity assigns or entrusts a task, responsibility, or authority to another entity to act on its behalf.
-
C.
tookOverCompetenceFrom
Indicates that one entity assumed responsibility, authority, or functional control previously held by another entity.
-
D.
entrustedTo
Indicates that responsibility, care, or control of something has been formally given by one party to another.
-
E.
canDelegateTo
Indicates that one entity has the authority or ability to transfer or assign its responsibilities, tasks, or decision-making power to 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:16 a.m.