Triple
T34836561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großer Musikvereinssaal |
E1004214
|
entity |
| Predicate | balconies |
P9725
|
FINISHED |
| Object | multiple tiers of galleries |
—
|
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: multiple tiers of galleries | Statement: [Großer Musikvereinssaal, balconies, multiple tiers of galleries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balconies Context triple: [Großer Musikvereinssaal, balconies, multiple tiers of galleries]
-
A.
hasBalcony
chosen
Indicates that a building or dwelling includes a balcony as part of its structure or features.
-
B.
numberOfBalconies
Indicates the quantity of balconies associated with a given entity or property.
-
C.
balconySupport
Indicates that one entity structurally supports or helps to hold up a balcony associated with another entity.
-
D.
hasBalconyOrTerrace
Indicates that an entity includes or is associated with a balcony or a terrace as part of its features.
-
E.
hasBalconyUse
Indicates that an entity makes use of or has access to a balcony for some purpose or activity.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.