Triple
T25348191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycée militaire d’Autun |
E635608
|
entity |
| Predicate | isInBuildingUse |
P147436
|
FINISHED |
| Object | educational use |
—
|
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: educational use | Statement: [Lycée militaire d’Autun, isInBuildingUse, educational use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInBuildingUse Context triple: [Lycée militaire d’Autun, isInBuildingUse, educational use]
-
A.
currentBuildingUse
chosen
Indicates the present functional purpose or activity for which a building is being used.
-
B.
locatedInBuildingUsedAs
Indicates that something is located inside a building that is being used for a specified purpose or function.
-
C.
isPublicBuilding
Indicates that a building is designated for public use, access, or service rather than being privately owned or restricted.
-
D.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
E.
usedOnPublicBuildings
Indicates that something is employed or applied in the context of public buildings, such as for their construction, operation, decoration, or maintenance.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f498bd7e648190855fcf9e2ee4c762 |
completed | May 1, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:34 p.m.