Triple
T30845574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulevard des Capucines (Monet) |
E785622
|
entity |
| Predicate | location of viewpoint |
P9787
|
FINISHED |
| Object | upper floor of a building |
—
|
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: upper floor of a building | Statement: [Boulevard des Capucines (Monet), location of viewpoint, upper floor of a building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: location of viewpoint Context triple: [Boulevard des Capucines (Monet), location of viewpoint, upper floor of a building]
-
A.
locationOfVision
Indicates the place or setting where a vision or visual experience occurs or is perceived.
-
B.
hasViewingPointFor
Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
-
C.
viewpointFrom
chosen
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
D.
isScenicViewpoint
Indicates that a location offers a notable, aesthetically pleasing view of the surrounding landscape.
-
E.
hasViewpointElevation
Indicates the vertical height or altitude of the viewpoint relative to a reference level (such as ground or sea level).
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0123d1162c81908182d01ba3ddd236 |
completed | May 11, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_6a01236713d88190b12a567c0dfb2d49 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 29, 2026, 8:46 p.m.