Triple
T8714921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altstadt-Lehel |
E206869
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Viktualienmarkt |
E206873
|
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: Viktualienmarkt | Statement: [Altstadt-Lehel, contains, Viktualienmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viktualienmarkt Context triple: [Altstadt-Lehel, contains, Viktualienmarkt]
-
A.
Viktualienmarkt
chosen
Viktualienmarkt is a famous open-air food and produce market in the historic center of Munich, known for its diverse stalls, beer garden, and traditional Bavarian atmosphere.
-
B.
Grüner Markt
Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
-
C.
Ochsenmarkt
Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
-
D.
Karmelitermarkt
Karmelitermarkt is a popular neighborhood market in Vienna known for its fresh produce, specialty foods, and lively café culture.
-
E.
Gendarmenmarkt
Gendarmenmarkt is a historic and architecturally renowned square in central Berlin, famous for its ensemble of the German and French Cathedrals and the Konzerthaus.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28d62af88190acf2d8692d73b9f5 |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:35 p.m.