Triple
T19514687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innere Stadt |
E488246
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Am Hof square |
—
|
NE NERFINISHED |
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: Am Hof square | Statement: [Innere Stadt, contains, Am Hof square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Am Hof square Context triple: [Innere Stadt, contains, Am Hof square]
-
A.
Am Hof square
chosen
Am Hof square is a historic public square in Vienna’s city center, known for its medieval origins, notable architecture, and role as a former marketplace and civic hub.
-
B.
Hof square
Hof square is a historic central square in the Dutch city of Amersfoort, known for its medieval architecture, cafés, and role as a focal point for local events and markets.
-
C.
Vredenburg square
Vredenburg square is a central public square in the Dutch city of Utrecht, known as a major hub for shopping, events, and public transport.
-
D.
Kiepenkerl square
Kiepenkerl square is a public plaza in Münster, Germany, known for its historic ambiance and as the site of the iconic Kiepenkerl statue.
-
E.
Rogier Square
Rogier Square is a major public square and transport hub in central Brussels, known for its modern architecture, offices, hotels, and proximity to key shopping and business districts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359a7070819099d925447c80bf23 |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.