Triple
T14257410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitte |
E353420
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Gendarmenmarkt |
E151220
|
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: Gendarmenmarkt | Statement: [Mitte, contains, Gendarmenmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gendarmenmarkt Context triple: [Mitte, contains, Gendarmenmarkt]
-
A.
Gendarmenmarkt
chosen
Gendarmenmarkt is a historic and architecturally renowned square in central Berlin, famous for its ensemble of the German and French Cathedrals and the Konzerthaus.
-
B.
Breitscheidplatz
Breitscheidplatz is a major public square and transport hub in central Berlin, known for the Kaiser Wilhelm Memorial Church and its surrounding shopping and entertainment district.
-
C.
Holstentorplatz
Holstentorplatz is a public square in Lübeck, Germany, situated prominently in front of the historic Holstentor city gate and serving as a central traffic and visitor hub.
-
D.
Marienplatz
Marienplatz is the central square in Munich, Germany, renowned as the city's historic heart and a major hub for cultural events, tourism, and public life.
-
E.
Charlottenplatz
Charlottenplatz is a major public square and traffic junction in central Stuttgart, Germany.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6352611c819090d062fe3079cd03 |
completed | April 14, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325f213881909acf776ff4831c30 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.