Triple
T7479523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untermarkt (Görlitz) |
E176714
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Obermarkt (Görlitz) |
E176715
|
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: Obermarkt (Görlitz) | Statement: [Untermarkt (Görlitz), adjacentTo, Obermarkt (Görlitz)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obermarkt (Görlitz) Context triple: [Untermarkt (Görlitz), adjacentTo, Obermarkt (Görlitz)]
-
A.
Obermarkt
Obermarkt is the historic main market square of Freiberg, known for its medieval architecture and central role in the city's public life.
-
B.
Obermarkt
chosen
Obermarkt is a historic central market square in the city of Görlitz, Germany, known for its well-preserved architecture and role as a focal point of urban life.
-
C.
Oberbarmen
Oberbarmen is a district of the German city of Wuppertal, known as an eastern urban area with residential neighborhoods and industrial heritage.
-
D.
Oberhof
Oberhof is a German winter sports town in Thuringia renowned for its biathlon, luge, and cross-country skiing facilities and World Cup events.
-
E.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f13f548190a8cc59165735b30e |
completed | March 27, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8348e8d108190b77e59e9df336d81 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.