Triple
T4163200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U3 |
E91577
|
entity |
| Predicate | hasInterchangeStation |
P2413
|
FINISHED |
| Object | Rathenauplatz |
E93920
|
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: Rathenauplatz | Statement: [U3, hasInterchangeStation, Rathenauplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rathenauplatz Context triple: [U3, hasInterchangeStation, Rathenauplatz]
-
A.
Rathenauplatz
chosen
Rathenauplatz is an underground rapid transit station in Nuremberg, Germany, serving as part of the city’s U-Bahn network.
-
B.
Rathausplatz
Rathausplatz is a prominent public square in Vienna, Austria, located in front of the city hall and known for major events such as festivals, markets, and open-air concerts.
-
C.
Stephansplatz
Stephansplatz is the central square of Vienna, Austria, known for its historic architecture and as the site of St. Stephen's Cathedral.
-
D.
Steintorplatz
Steintorplatz is a public square in Hanover, Germany, known as an urban landmark area that hosts notable modern architecture such as the Gehry Tower.
-
E.
Königsplatz
Königsplatz is a central square in the Bavarian city of Fürth, Germany, known as an important local transport and urban 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a9bf348190b99cecd19fe65779 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6feae608190b677362d9c734165 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.