Triple
T28100018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congrès de Tours de 1920 |
E710204
|
entity |
| Predicate | figureImportante |
P142639
|
FINISHED |
| Object | Léon Blum |
—
|
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: Léon Blum | Statement: [Congrès de Tours de 1920, figureImportante, Léon Blum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: figureImportante Context triple: [Congrès de Tours de 1920, figureImportante, Léon Blum]
-
A.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
B.
importantObject
chosen
Indicates that one entity is considered especially significant, central, or of high priority in relation to another entity or context.
-
C.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
-
D.
iconicFeature
Indicates that something serves as a distinctive, widely recognized characteristic or symbol of another entity.
-
E.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
- 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.