Triple
T242778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rathaus Schöneberg |
E4968
|
entity |
| Predicate | hasBalcony |
P9725
|
FINISHED |
| Object | front balcony used for political speeches |
—
|
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: front balcony used for political speeches | Statement: [Rathaus Schöneberg, hasBalcony, front balcony used for political speeches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBalcony Context triple: [Rathaus Schöneberg, hasBalcony, front balcony used for political speeches]
-
A.
roofFeature
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
B.
hasBasement
Indicates that a building or structure includes a basement level as part of its physical layout.
-
C.
hasMezzanine
Indicates that one entity includes or is equipped with a mezzanine level in relation to another entity.
-
D.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
E.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
- F. None of above. chosen
Provenance (4 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dcd2b208190855d5d8d70a3acfc |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b62839c8190824064fe5da6a92a |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25dcba5148190ab80fd14c7cf4bb4 |
completed | Feb. 28, 2026, 3:15 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.