Triple
T22330775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordeliers Convent, Paris |
E552015
|
entity |
| Predicate | politicalOrientationOfClub |
P15842
|
FINISHED |
| Object | radical democratic |
—
|
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: radical democratic | Statement: [Cordeliers Convent, Paris, politicalOrientationOfClub, radical democratic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalOrientationOfClub Context triple: [Cordeliers Convent, Paris, politicalOrientationOfClub, radical democratic]
-
A.
politicalOrientationOfParty
Indicates the political ideology or orientation that characterizes a political party.
-
B.
politicalAlignmentOfOrganizers
Indicates the political ideology or stance associated with the organizers of an event or activity.
-
C.
supporterOf
Indicates that one entity backs, advocates for, or provides assistance to another entity, cause, or organization.
-
D.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
E.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577a9c348190b8662142afa832be |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.