Triple
T28248715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relation de la mort du chevalier de La Barre et du procès des Calas |
E712257
|
entity |
| Predicate | authorResidenceAtTimeOfWriting |
P157829
|
FINISHED |
| Object | Ferney |
—
|
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: Ferney | Statement: [Relation de la mort du chevalier de La Barre et du procès des Calas, authorResidenceAtTimeOfWriting, Ferney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorResidenceAtTimeOfWriting Context triple: [Relation de la mort du chevalier de La Barre et du procès des Calas, authorResidenceAtTimeOfWriting, Ferney]
-
A.
authorResidenceAtPublication
chosen
Indicates the place where an author was residing at the time a particular work was published.
-
B.
artistResidenceAtTimeOfWork
Indicates the place where an artist was living at the time a particular work was created.
-
C.
architectOfResidence
Indicates that one entity is the architect responsible for designing the residence associated with another entity.
-
D.
hasComposerResidence
Indicates that a composer has a particular place as their residence or primary dwelling.
-
E.
artistResidence
Indicates that a given location is the place where an artist lives or is based.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 11:03 p.m.