Triple
T16050737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-Bahn line U9 |
E389344
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Friedrich-Wilhelm-Platz |
E1105400
|
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: Friedrich-Wilhelm-Platz | Statement: [U-Bahn line U9, hasStation, Friedrich-Wilhelm-Platz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedrich-Wilhelm-Platz Context triple: [U-Bahn line U9, hasStation, Friedrich-Wilhelm-Platz]
-
A.
Friedrich-Wilhelm-Platz
chosen
Friedrich-Wilhelm-Platz is a Berlin U-Bahn station on the U9 line located in the district of Friedenau.
-
B.
Friedrich-Ebert-Platz
Friedrich-Ebert-Platz is a public square and U-Bahn station in Nuremberg, Germany, serving as a stop on the city’s U3 metro line.
-
C.
Ernst-Reuter-Platz
Ernst-Reuter-Platz is a major public square and traffic junction in Berlin, Germany, named in honor of the post-war mayor Ernst Reuter.
-
D.
Max-Josefs-Platz
Max-Josefs-Platz is a historic central square in Rosenheim, Germany, known for its picturesque old-town architecture, shops, and cafés.
-
E.
Ernst-August-Platz
Ernst-August-Platz is a central public square in Hanover, Germany, located in front of the main railway station and known as a major urban meeting point and transport hub.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18361c31481908b253e8b814ec9f6 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d25abec8190954b640b63efa0c2 |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 4:56 a.m.