Triple
T13239480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girona Cathedral |
E315242
|
entity |
| Predicate | naveWidth |
P108674
|
FINISHED |
| Object | approximately 22.98 metres |
—
|
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: approximately 22.98 metres | Statement: [Girona Cathedral, naveWidth, approximately 22.98 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naveWidth Context triple: [Girona Cathedral, naveWidth, approximately 22.98 metres]
-
A.
naveHeight
Indicates the vertical distance from the floor to the highest point of the nave space in a building.
-
B.
naveLength
Indicates the length measurement of a building’s nave, typically from the entrance to the chancel or crossing.
-
C.
naveType
Indicates the architectural or structural type or style of a building’s nave in relation to that nave.
-
D.
naveStyle
Indicates the architectural style or design type applied specifically to the nave portion of a building or structure.
-
E.
nutWidthInches
Indicates the width of a nut measured in inches.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:23 p.m.