Triple
T1466987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French plebiscite of 1802 |
E27045
|
entity |
| Predicate | governmentFormAfter |
P18912
|
FINISHED |
| Object | authoritarian consulate regime |
—
|
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: authoritarian consulate regime | Statement: [French plebiscite of 1802, governmentFormAfter, authoritarian consulate regime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFormAfter Context triple: [French plebiscite of 1802, governmentFormAfter, authoritarian consulate regime]
-
A.
governmentFormCreated
Indicates that one entity established or instituted a particular form or system of government for another entity.
-
B.
governmentFormAfterElection
Indicates the type of government that is established or results following an election.
-
C.
filingForm
Indicates that an entity submits or completes a specific form or document, typically as part of an official or administrative process.
-
D.
associatedWithGovernmentForm
chosen
Indicates a relationship in which an entity is linked or connected to a particular form or type of government.
-
E.
helpedForm
Indicates that one entity contributed significantly to the creation, establishment, or founding 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5bcfa0881909d6137c69825bc7a |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.