Triple
T24260162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Denis, Seine-Saint-Denis |
E604675
|
entity |
| Predicate | basilicaArchitecturalStyle |
P36431
|
FINISHED |
| Object | Gothic architecture |
—
|
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: Gothic architecture | Statement: [Saint-Denis, Seine-Saint-Denis, basilicaArchitecturalStyle, Gothic architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basilicaArchitecturalStyle Context triple: [Saint-Denis, Seine-Saint-Denis, basilicaArchitecturalStyle, Gothic architecture]
-
A.
basilicaStyle
chosen
Indicates that something is designed, built, or characterized in the architectural style of a basilica.
-
B.
baptisteryArchitecturalStyle
Indicates the architectural style or design tradition according to which a baptistery is built.
-
C.
basilicaHeightApprox
Indicates that an entity is approximately a certain height, specifically in the context of a basilica or basilica-like structure.
-
D.
hasBasilica
Indicates that one entity possesses, contains, or is associated with a basilica as a significant feature or component.
-
E.
basilicaFunction
Indicates that one entity serves as the functional role, purpose, or use of a basilica in relation 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6656f08190a8140a54eba7c0ce |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.