Triple
T17349293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constance |
E421763
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Old Town (Altstadt) |
—
|
NE ONNED1 |
How this triple was built (3 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: Old Town (Altstadt) | Statement: [Constance, hasLandmark, Old Town (Altstadt)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Town (Altstadt) Context triple: [Constance, hasLandmark, Old Town (Altstadt)]
-
A.
Old Town (Altstadt)
Old Town (Altstadt) is Cologne’s historic city center, known for its narrow cobbled streets, traditional houses, and numerous breweries and pubs near the Rhine.
-
B.
Old Town (Altstadt)
Old Town (Altstadt) is the historic center of Friedberg, Germany, characterized by its preserved medieval architecture, narrow streets, and traditional townscape.
-
C.
Altstadt (Old Town)
Altstadt (Old Town) is the historic central district of Brandenburg an der Havel, characterized by its medieval street layout, traditional architecture, and cultural landmarks.
-
D.
Altstadt (old town)
Altstadt (old town) is the historic center of Rendsburg, characterized by its traditional architecture, narrow streets, and preserved cultural heritage.
-
E.
Altstadt (old town)
Altstadt (old town) is the historic center of Gernsbach, characterized by its preserved medieval architecture, narrow streets, and traditional charm.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Town (Altstadt) Target entity description: Old Town (Altstadt) is the historic medieval city center of Constance, Germany, known for its well-preserved architecture, narrow streets, and lakeside charm on Lake Constance.
-
A.
Old Town (Altstadt)
Old Town (Altstadt) is Cologne’s historic city center, known for its narrow cobbled streets, traditional houses, and numerous breweries and pubs near the Rhine.
-
B.
Old Town (Altstadt)
Old Town (Altstadt) is the historic center of Friedberg, Germany, characterized by its preserved medieval architecture, narrow streets, and traditional townscape.
-
C.
Altstadt (Old Town)
Altstadt (Old Town) is the historic central district of Brandenburg an der Havel, characterized by its medieval street layout, traditional architecture, and cultural landmarks.
-
D.
Altstadt (old town)
Altstadt (old town) is the historic center of Rendsburg, characterized by its traditional architecture, narrow streets, and preserved cultural heritage.
-
E.
Altstadt (old town)
Altstadt (old town) is the historic center of Gernsbach, characterized by its preserved medieval architecture, narrow streets, and traditional charm.
- F. None of above. chosen
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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2af5f88190b4c292ca30993b36 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955658b88190bce3fb2b5738afc6 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.