Triple
T16348597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kléberplatz |
E396999
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Kléberplatz |
E396999
|
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: Kléberplatz | Statement: [Kléberplatz, hasGermanName, Kléberplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kléberplatz Context triple: [Kléberplatz, hasGermanName, Kléberplatz]
-
A.
Savignyplatz
Savignyplatz is a well-known square and surrounding neighborhood in Berlin’s Charlottenburg district, noted for its lively cafés, restaurants, and historic urban charm.
-
B.
Kléberplatz (German)
chosen
Kléberplatz is the German name for Place Kléber, the central and historically significant main square in Strasbourg, France.
-
C.
Trammplatz
Trammplatz is a central public square in Hanover, Germany, best known as the forecourt of the city’s New Town Hall and a focal point for civic events.
-
D.
Opernplatz
Opernplatz is a prominent public square in central Frankfurt am Main, Germany, known especially for hosting the historic Alte Oper concert hall.
-
E.
Paradeplatz
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.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da10ef64819092633e8b32e98f5d |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db40e0481908d919f2285e48a23 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.