Triple
T21716999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altstadt (Zürich) |
E536055
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Paradeplatz |
—
|
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: Paradeplatz | Statement: [Altstadt (Zürich), contains, Paradeplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paradeplatz Context triple: [Altstadt (Zürich), contains, Paradeplatz]
-
A.
Paradeplatz
chosen
Paradeplatz is a prominent square in central Zurich, Switzerland, best known as a major financial hub and tram junction surrounded by banks and upscale shops.
-
B.
Marijinplatz
Marijinplatz is the former name of Ljubljana’s central Prešeren Square, a key cultural and social gathering place in Slovenia’s capital.
-
C.
Askanischer Platz
Askanischer Platz is a public square in central Berlin, Germany, historically associated with major railway and urban developments in the city.
-
D.
Hansaplatz
Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
-
E.
Herkomerplatz
Herkomerplatz is a square in Munich’s Bogenhausen district, known as a local traffic and public transport hub surrounded by residential and commercial buildings.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.