Triple
T27299768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Paul-sur-Ubaye |
E688872
|
entity |
| Predicate | hasMayorTerm_2020_2026 |
P74424
|
FINISHED |
| Object | 2020–2026 |
—
|
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: 2020–2026 | Statement: [Saint-Paul-sur-Ubaye, hasMayorTerm_2020_2026, 2020–2026]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMayorTerm_2020_2026 Context triple: [Saint-Paul-sur-Ubaye, hasMayorTerm_2020_2026, 2020–2026]
-
A.
hasMayorTerm
chosen
Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
-
B.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
C.
numberOfTermsAsMayor
Indicates the number of distinct terms an individual has served in the role of mayor.
-
D.
mayoralTermStart
Indicates the date or point in time when an individual's tenure as mayor officially begins.
-
E.
hasMayorOffice
Indicates that a particular entity serves as the office or official position held by a mayor 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 27, 2026, 11:21 a.m.