Triple
T8719923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French regions |
E206984
|
entity |
| Predicate | electRegionalCouncilBy |
P84258
|
FINISHED |
| Object | direct universal suffrage |
—
|
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: direct universal suffrage | Statement: [French regions, electRegionalCouncilBy, direct universal suffrage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electRegionalCouncilBy Context triple: [French regions, electRegionalCouncilBy, direct universal suffrage]
-
A.
containsRegionalCouncil
Indicates that one administrative or geographic entity includes a regional council within its jurisdiction or boundaries.
-
B.
seatOfRegionalCouncil
Indicates that a location serves as the administrative center or headquarters of a regional council.
-
C.
districtCouncil
Indicates that an entity serves as, or is governed by, a district-level council within a larger administrative or political structure.
-
D.
destinationCouncilArea
Indicates the council or local government area that serves as the destination location in a movement, transfer, or travel relationship.
-
E.
numberOfRegionalCouncils
Indicates the total count of regional councils associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d02a52c81909f93622ae6920b80 |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc489dd528819084ed5d88bd8bb3d6 |
completed | March 31, 2026, 10:20 p.m. |
Created at: March 30, 2026, 6:36 p.m.