Triple
T7518042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna House Magic Circus |
E177694
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Vienna House |
E670606
|
NE 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: Vienna House | Statement: [Vienna House Magic Circus, brand, Vienna House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna House Context triple: [Vienna House Magic Circus, brand, Vienna House]
-
A.
Vienna House
chosen
Vienna House is a European hotel brand known for its stylish, contemporary properties that blend modern comfort with local character.
-
B.
House of Starhemberg
The House of Starhemberg is an old and influential Austrian noble family historically prominent in politics, military affairs, and high society within the Habsburg realms.
-
C.
Swiss House
Swiss House is a picturesque historic building and popular visitor landmark located within Zagreb’s Maksimir Park.
-
D.
Swiss Cottage
Swiss Cottage is a picturesque, chalet-style building within the Osborne House estate on the Isle of Wight, created as a play and learning retreat for the children of Queen Victoria and Prince Albert.
-
E.
Swiss Cottage
Swiss Cottage is a district in northwest London known for its busy transport hub, residential streets, and proximity to cultural and commercial amenities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f6ccc8819080ffd123fdd59a50 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ef834608190bf425f99222a4bc5 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:46 p.m.