Triple
T8692071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourges Cathedral |
E206314
|
entity |
| Predicate | heightOfNave |
P8957
|
FINISHED |
| Object | approximately 37 meters |
—
|
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 37 meters | Statement: [Bourges Cathedral, heightOfNave, approximately 37 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfNave Context triple: [Bourges Cathedral, heightOfNave, approximately 37 meters]
-
A.
naveHeight
chosen
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.
hasNave
Indicates that one entity (typically a building or structure) possesses or includes a nave as a distinct architectural part.
-
D.
carHeight
Indicates the vertical measurement or clearance height of a car.
-
E.
cabinHeightMeters
Indicates the height of a cabin measured in meters.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5825385081908dee42cba8e98392 |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.