Triple
T13386919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago bungalows |
E319466
|
entity |
| Predicate | windowPattern |
P8656
|
FINISHED |
| Object | grouped front windows |
—
|
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 front windows | Statement: [Chicago bungalows, windowPattern, grouped front windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windowPattern Context triple: [Chicago bungalows, windowPattern, grouped front windows]
-
A.
windowType
chosen
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.
windowMaterial
Indicates the material from which a window is made or constructed.
-
D.
windowShutterColor
Indicates the color attribute assigned to a window’s shutter in the relationship.
-
E.
windowManagementProtocol
Indicates a protocol governing how windows are created, arranged, displayed, and controlled within a graphical user interface or windowing system.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce96d1881909957fdd068a7f55d |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.