Triple
T18219579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komische Oper Berlin |
E436256
|
entity |
| Predicate | exteriorStyle |
P43197
|
FINISHED |
| Object | historicist façade |
—
|
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: historicist façade | Statement: [Komische Oper Berlin, exteriorStyle, historicist façade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exteriorStyle Context triple: [Komische Oper Berlin, exteriorStyle, historicist façade]
-
A.
hasExteriorStyle
chosen
Indicates that an entity possesses or is characterized by a particular exterior design or stylistic appearance.
-
B.
exteriorShape
Indicates the overall outer form or contour that characterizes how something appears from the outside.
-
C.
hasExteriorType
Indicates that an entity possesses a specific kind or style of exterior.
-
D.
exteriorFeature
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
-
E.
exteriorColor
Indicates the relationship that specifies the color on the outside surface of an entity.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47a3b1c8190919e954089b41ae0 |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.