Triple
T9608396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandy Station, Virginia |
E232033
|
entity |
| Predicate | GraffitiHouseUse |
P68010
|
FINISHED |
| Object | museum |
—
|
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: museum | Statement: [Brandy Station, Virginia, GraffitiHouseUse, museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GraffitiHouseUse Context triple: [Brandy Station, Virginia, GraffitiHouseUse, museum]
-
A.
artUse
Indicates that one entity uses, applies, or employs another entity within an artistic or creative context.
-
B.
hasFloorUse
chosen
Indicates that a particular floor or level of a building is designated for a specific function, activity, or type of use.
-
C.
streetArt
Indicates that an entity creates, displays, or is associated with artistic works placed in public urban spaces, typically on streets or buildings.
-
D.
glassHouseUse
Indicates that an entity uses or operates a glasshouse (greenhouse) for some purpose or activity.
-
E.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a8300e48190bef51f61febc061d |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.