Triple
T35074453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classic Box |
E1011971
|
entity |
| Predicate | hasTypicalWindowArrangement |
P138347
|
FINISHED |
| Object | grouped windows on front facade |
—
|
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: grouped windows on front facade | Statement: [Classic Box, hasTypicalWindowArrangement, grouped windows on front facade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalWindowArrangement Context triple: [Classic Box, hasTypicalWindowArrangement, grouped windows on front facade]
-
A.
typicalWindowArrangement
chosen
Indicates the usual or standard spatial configuration in which windows are arranged relative to each other in a given context.
-
B.
windowArrangement
Indicates how windows are positioned or organized relative to each other within a given context.
-
C.
hasTypicalEntranceWindow
Indicates that there is a commonly occurring or standard time interval during which entrance or admission typically takes place.
-
D.
typicalApplicationWindow
Indicates that something is a standard or commonly used application window in a software environment.
-
E.
hasWindowDepicting
Indicates that one entity possesses a window on which the other entity is depicted or represented.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff64b957bc81908afbc5914234a8ea |
completed | May 9, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69ff6446593c81909173e296eea2590c |
completed | May 9, 2026, 4:43 p.m. |
Created at: May 3, 2026, 4:01 p.m.