Triple
T9674352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steintor tram stop |
E234109
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Steintorplatz |
E234108
|
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: Steintorplatz | Statement: [Steintor tram stop, adjacentTo, Steintorplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steintorplatz Context triple: [Steintor tram stop, adjacentTo, Steintorplatz]
-
A.
Steintorplatz
chosen
Steintorplatz is a public square in Hanover, Germany, known as an urban landmark area that hosts notable modern architecture such as the Gehry Tower.
-
B.
Schlossplatz
Schlossplatz is a historic central square in Berlin that once fronted the Berlin City Palace and now serves as the site of the reconstructed Humboldt Forum.
-
C.
Münsterplatz
Münsterplatz is a historic central square in Bern’s Old City, known for its location beside the Bern Minster and its role as a prominent public gathering space.
-
D.
Stephansplatz
Stephansplatz is the central square of Vienna, Austria, known for its historic architecture and as the site of St. Stephen's Cathedral.
-
E.
Rathenauplatz
Rathenauplatz is an underground rapid transit station in Nuremberg, Germany, serving as part of the city’s U-Bahn network.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6d6dd48190a77c486337a58cb6 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190f9bf78819093542adae997a668 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:15 p.m.