Triple
T31620567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deputy of the Bouches-du-Rhône |
E806883
|
entity |
| Predicate | representsPopulationFrom |
P33418
|
FINISHED |
| Object | Provence-Alpes-Côte d'Azur region |
—
|
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: Provence-Alpes-Côte d'Azur region | Statement: [Deputy of the Bouches-du-Rhône, representsPopulationFrom, Provence-Alpes-Côte d'Azur region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsPopulationFrom Context triple: [Deputy of the Bouches-du-Rhône, representsPopulationFrom, Provence-Alpes-Côte d'Azur region]
-
A.
hasRepresentedPopulation
Indicates that an entity has served as the representative or governing body for a particular population or group of people.
-
B.
relativePopulation
Indicates the comparative size of one population relative to another, typically expressing how large, small, or proportionate it is.
-
C.
repopulatedBy
Indicates that something is populated again or refilled with members or inhabitants by a specified agent or source.
-
D.
representsPeople
chosen
Indicates that one entity serves as a representation or stand-in for one or more people.
-
E.
representedFrom
Indicates that one entity serves as a representation or depiction 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: April 30, 2026, 10:41 p.m.