Triple
T3590517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plain (La Plaine) |
E76013
|
entity |
| Predicate | positionRelativeToGirondins |
P49574
|
FINISHED |
| Object | more radical |
—
|
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: more radical | Statement: [Plain (La Plaine), positionRelativeToGirondins, more radical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToGirondins Context triple: [Plain (La Plaine), positionRelativeToGirondins, more radical]
-
A.
roleInFronde
Indicates that an entity participated in or held a specific role within the historical conflict known as the Fronde.
-
B.
positionOnReform
Indicates a stance or viewpoint that an entity holds regarding a particular reform or set of reforms.
-
C.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
D.
cantonPosition
Indicates the relative placement or arrangement of a canton within a larger geographic or administrative context.
-
E.
positionOnRights
Indicates a stance, opinion, or policy an entity holds regarding rights (such as legal, human, or civil rights).
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1581278819081dd73b4c71e422e |
completed | March 8, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:22 p.m.