Triple
T3317576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innere Stadt |
E69717
|
entity |
| Predicate | hasCityGateRemnant |
P4365
|
FINISHED |
| Object |
Schottentor
Schottentor is a historic former city gate area in Vienna that now serves as a major public transport hub and landmark at the edge of the Innere Stadt.
|
E346709
|
NE FINISHED |
How this triple was built (4 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: Schottentor | Statement: [Innere Stadt, hasCityGateRemnant, Schottentor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schottentor Context triple: [Innere Stadt, hasCityGateRemnant, Schottentor]
-
A.
Hallesches Tor
Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
-
B.
Roter Turm
Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
-
C.
Burgtor
Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
-
D.
Sandauer Tor
Sandauer Tor is a historic city gate in Landsberg am Lech, Germany, forming part of the town’s preserved medieval fortifications.
-
E.
Florian Gate
Florian Gate is a historic medieval city gate in Kraków, Poland, and one of the best-preserved remnants of the city’s old defensive walls.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Schottentor Triple: [Innere Stadt, hasCityGateRemnant, Schottentor]
Generated description
Schottentor is a historic former city gate area in Vienna that now serves as a major public transport hub and landmark at the edge of the Innere Stadt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schottentor Target entity description: Schottentor is a historic former city gate area in Vienna that now serves as a major public transport hub and landmark at the edge of the Innere Stadt.
-
A.
Hallesches Tor
Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
-
B.
Roter Turm
Roter Turm is a historic medieval tower and prominent architectural landmark in the city center of Chemnitz, Germany.
-
C.
Burgtor
Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
-
D.
Sandauer Tor
Sandauer Tor is a historic city gate in Landsberg am Lech, Germany, forming part of the town’s preserved medieval fortifications.
-
E.
Florian Gate
Florian Gate is a historic medieval city gate in Kraków, Poland, and one of the best-preserved remnants of the city’s old defensive walls.
- F. None of above. chosen
Provenance (5 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb113cb6c8190989b06476f6015fd |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3fd5440819092f6847e56c05ff8 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b300abcbf88190bf05da60d8fb430b |
completed | March 12, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3132087888190af901e2551ef777c |
completed | March 12, 2026, 7:25 p.m. |
Created at: March 8, 2026, 3:11 p.m.