Triple
T16160756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auch Cathedral |
E392169
|
entity |
| Predicate | choirStallsStyle |
P19314
|
FINISHED |
| Object | Renaissance woodcarving |
—
|
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: Renaissance woodcarving | Statement: [Auch Cathedral, choirStallsStyle, Renaissance woodcarving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: choirStallsStyle Context triple: [Auch Cathedral, choirStallsStyle, Renaissance woodcarving]
-
A.
hasChoirStalls
Indicates that a location or structure contains or is equipped with choir stalls used for seating members of a choir.
-
B.
choirPosition
Indicates the relative placement or role an entity holds within a choir’s arrangement or structure.
-
C.
hasChapelStyle
Indicates that a chapel possesses or is characterized by a particular architectural or stylistic design.
-
D.
buildingStyleOfChamber
chosen
Indicates the architectural style or design type associated with a particular chamber.
-
E.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5f0cb48190aae995d88382e055 |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.