Triple
T20972438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warburg |
E516535
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Altstadt Warburg |
—
|
NE NERFINISHED |
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: Altstadt Warburg | Statement: [Warburg, hasPart, Altstadt Warburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altstadt Warburg Context triple: [Warburg, hasPart, Altstadt Warburg]
-
A.
Altstadt
Altstadt is the historic old town of Zürich, Switzerland, known for its medieval streets, preserved architecture, and cultural landmarks along the Limmat River.
-
B.
Altstadt
Altstadt is the historic old town district of many German-speaking cities, typically characterized by medieval streets, traditional architecture, and prominent landmarks.
-
C.
Altstadt
Altstadt is the historic old town district of Dresden, Germany, known for its baroque architecture and major cultural landmarks.
-
D.
Altstadt
Altstadt is the historic old town district of Passau, known for its picturesque medieval streets and baroque architecture at the confluence of three rivers.
-
E.
Altstadt
Altstadt is the historic old town district of Koblenz, Germany, known for its preserved medieval streets, squares, and traditional architecture along the Rhine and Moselle rivers.
- 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: Altstadt Warburg Target entity description: Altstadt Warburg is the historic old town district of Warburg, Germany, characterized by its medieval street layout, half-timbered houses, and preserved fortifications.
-
A.
Altstadt
Altstadt is the historic old town of Zürich, Switzerland, known for its medieval streets, preserved architecture, and cultural landmarks along the Limmat River.
-
B.
Altstadt
Altstadt is the historic old town district of many German-speaking cities, typically characterized by medieval streets, traditional architecture, and prominent landmarks.
-
C.
Altstadt
Altstadt is the historic old town district of Dresden, Germany, known for its baroque architecture and major cultural landmarks.
-
D.
Altstadt
Altstadt is the historic old town district of Passau, known for its picturesque medieval streets and baroque architecture at the confluence of three rivers.
-
E.
Altstadt
Altstadt is the historic old town district of Koblenz, Germany, known for its preserved medieval streets, squares, and traditional architecture along the Rhine and Moselle rivers.
- F. None of above. chosen
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba161d88190b8905891f449004e |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:44 p.m.