Triple
T36188243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parlement de Bretagne |
E1046908
|
entity |
| Predicate | restorationOfSeat |
P159147
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Parlement de Bretagne, restorationOfSeat, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restorationOfSeat Context triple: [Parlement de Bretagne, restorationOfSeat, late 20th century]
-
A.
seatAfterRestoration
Indicates that one seat occurs in the configuration or arrangement that exists after a restoration process has been completed.
-
B.
restoredStatusQuoAnte
Indicates that a prior state of affairs or original condition has been re-established after a change, disruption, or intervention.
-
C.
reElectionOf
Indicates that an entity is being elected again to a position or office they have previously held.
-
D.
lostSeatInApportionment
Indicates that an entity (such as a state or region) lost a previously held representative seat due to a reapportionment process.
-
E.
restoredPoliticalStructure
chosen
Indicates that an entity has reestablished or brought back a previous political system, organization, or governing framework to its former state.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.