Triple
T13380407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlsplatz |
E319301
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Naschmarkt |
E1035535
|
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: Naschmarkt | Statement: [Karlsplatz, near, Naschmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naschmarkt Context triple: [Karlsplatz, near, Naschmarkt]
-
A.
Naschmarkt
chosen
Naschmarkt is Vienna’s most famous open-air market, known for its diverse food stalls, restaurants, and vibrant atmosphere along the Wien River.
-
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.
Untermarkt
Untermarkt is the historic lower market square in Görlitz, Germany, known for its well-preserved medieval and Renaissance architecture.
-
D.
Untermarkt
Untermarkt is a historic central market square in the Saxon mining town of Freiberg, Germany, known for its medieval architecture and role as a focal point of urban life.
-
E.
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.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306c18d481908ebc8f802e474479 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:33 p.m.