Triple
T8389595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altstadt (Dresden) |
E197907
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Neumarkt (Dresden) |
E726094
|
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: Neumarkt (Dresden) | Statement: [Altstadt (Dresden), contains, Neumarkt (Dresden)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neumarkt (Dresden) Context triple: [Altstadt (Dresden), contains, Neumarkt (Dresden)]
-
A.
Kohlmarkt
Kohlmarkt is a historic and upscale shopping street in Vienna’s city center, known for its luxury boutiques and elegant architecture.
-
B.
Linden-Markt
Linden-Markt was the original name of Berlin’s historic Gendarmenmarkt square, now renowned for its grand architecture and cultural significance.
-
C.
Pützchens Markt
Pützchens Markt is a large, traditional annual funfair in Bonn, Germany, known for its historic origins and extensive rides, stalls, and attractions.
-
D.
Neumarkt area
chosen
The Neumarkt area is a central historic square and commercial district in Dresden, Germany, known for its reconstructed Baroque architecture and proximity to major landmarks like the Frauenkirche.
-
E.
Heumarkt
Heumarkt is a historic square in Cologne’s Old Town known as a central marketplace and event space surrounded by notable landmarks, shops, and restaurants.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810ac380819095bd67f0555ac2a8 |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde84427dc8190925150b5d52bc9a0 |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:03 p.m.