Triple
T12747999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demel |
E304655
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kohlmarkt |
E346718
|
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: Kohlmarkt | Statement: [Demel, locatedIn, Kohlmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohlmarkt Context triple: [Demel, locatedIn, Kohlmarkt]
-
A.
Kohlmarkt
chosen
Kohlmarkt is a historic and upscale shopping street in Vienna’s city center, known for its luxury boutiques and elegant architecture.
-
B.
St. Johanner Markt
St. Johanner Markt is a historic central square in Saarbrücken known for its baroque architecture, lively cafés, and role as a popular social and cultural gathering place.
-
C.
Rathausmarkt
Rathausmarkt is the large central square in Hamburg that serves as the main public plaza in front of the city hall and a key venue for events, markets, and civic gatherings.
-
D.
Pützchens Markt
Pützchens Markt is a large, traditional annual funfair in Bonn, Germany, known for its historic origins and extensive rides, stalls, and attractions.
-
E.
Ochsenmarkt
Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd58d30819082af4edb4cd0b4ab |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684ee2ab4819099194d115d2e5a15 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:27 p.m.