Triple
T28100012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congrès de Tours de 1920 |
E710204
|
entity |
| Predicate | entraîneTransformation |
P135975
|
FINISHED |
| Object | Section française de l’Internationale communiste en Parti communiste français |
—
|
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: Section française de l’Internationale communiste en Parti communiste français | Statement: [Congrès de Tours de 1920, entraîneTransformation, Section française de l’Internationale communiste en Parti communiste français]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entraîneTransformation Context triple: [Congrès de Tours de 1920, entraîneTransformation, Section française de l’Internationale communiste en Parti communiste français]
-
A.
transformationWord
Indicates a change or conversion from one state, form, or representation to another, typically expressed through a word or phrase describing that transformation.
-
B.
transformedIn
chosen
Indicates that one entity has been changed, converted, or altered into another state, form, or representation within a specific context or process.
-
C.
movementTransformed
Indicates that an entity’s movement has been altered or converted from one form, state, or pattern into another.
-
D.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
-
E.
featuresTransformationOf
Indicates that something includes or presents a transformation or change applied to 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 9:04 p.m.