Triple
T1841350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Rose Window of Notre-Dame de Paris |
E41182
|
entity |
| Predicate | hasSupportStructure |
P18077
|
FINISHED |
| Object | stone mullions |
—
|
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: stone mullions | Statement: [North Rose Window of Notre-Dame de Paris, hasSupportStructure, stone mullions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSupportStructure Context triple: [North Rose Window of Notre-Dame de Paris, hasSupportStructure, stone mullions]
-
A.
supportsStructure
chosen
Indicates that one entity bears or provides physical support to another entity, helping to hold it up or maintain its structural stability.
-
B.
chamberSupportedBy
Indicates that a chamber is physically held up, carried, or structurally sustained by another object or structure.
-
C.
isFreeStanding
Indicates that an object or structure stands independently without needing external support or attachment.
-
D.
hasStand
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
-
E.
hasEntranceStructure
Indicates that one entity possesses or is associated with a specific physical structure that serves as its entrance.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdb0d2c8190a67f584e67979fa3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.