Triple
T11646672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadionbad |
E276792
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Prater area |
E56329
|
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: Prater area | Statement: [Stadionbad, locatedIn, Prater area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prater area Context triple: [Stadionbad, locatedIn, Prater area]
-
A.
Prater
chosen
Prater is a large public park and historic amusement area in Vienna, Austria, best known for its iconic Giant Ferris Wheel and extensive green spaces.
-
B.
East Wall area
The East Wall area is a docklands neighborhood in Dublin, Ireland, known for its mix of residential streets, industrial heritage, and proximity to the city’s port and rail infrastructure.
-
C.
Silo District
The Silo District is a contemporary mixed-use precinct in Cape Town known for its modern architecture, cultural attractions, and proximity to the V&A Waterfront.
-
D.
Seitzenhahn district
Seitzenhahn district is a local administrative and residential area within the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany.
-
E.
Leopold Quarter
Leopold Quarter is a prominent business and administrative district in Brussels, Belgium, known for hosting key European Union institutions and offices.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cc8bfc8190a063cc37de9596a9 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f08fa01ba88190a4fa5a74fe96cfa9 |
completed | April 28, 2026, 10:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.