Triple
T27990881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUPES |
E706865
|
entity |
| Predicate | firstMajorElection |
P200514
|
FINISHED |
| Object | 2022 French legislative election |
—
|
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: 2022 French legislative election | Statement: [NUPES, firstMajorElection, 2022 French legislative election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorElection Context triple: [NUPES, firstMajorElection, 2022 French legislative election]
-
A.
firstElectionUnder
Indicates that an election was the first one conducted under a particular rule, system, constitution, or governing framework.
-
B.
firstFederalElection
Indicates the relationship in which an entity participates in or is associated with the first federal election of a given political system or jurisdiction.
-
C.
firstModernElection
Indicates that the election is considered the first to meet modern standards or characteristics within a given political or historical context.
-
D.
firstElectionAfter
Indicates that one election is the earliest election that occurs after another specified election.
-
E.
firstElectionName
Indicates the name or title of the first election in which the entity participated or was involved.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
| PDg | Predicate description generation | batch_69ff935f48808190aa6f4834f59d45b8 |
completed | May 9, 2026, 8:04 p.m. |
Created at: April 27, 2026, 7:50 p.m.