Triple
T5268782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominus Flevit Church |
E119203
|
entity |
| Predicate | windowFeature |
P41649
|
FINISHED |
| Object | central window framing Dome of the Rock and Old City |
—
|
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: central window framing Dome of the Rock and Old City | Statement: [Dominus Flevit Church, windowFeature, central window framing Dome of the Rock and Old City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windowFeature Context triple: [Dominus Flevit Church, windowFeature, central window framing Dome of the Rock and Old City]
-
A.
windowType
Indicates the specific kind or category of window associated with an entity.
-
B.
windowManagement
Indicates the relationship or action of controlling, arranging, or interacting with on-screen windows within a graphical user interface.
-
C.
windows
Indicates that one entity is a window of, or is associated as a window-related component or feature to, another entity.
-
D.
supportsMultipleWindows
Indicates that the subject can handle or display more than one window or view simultaneously.
-
E.
displaysFeature
chosen
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.