Triple
T7803441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolaiviertel |
E180487
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | central Berlin |
E167243
|
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: central Berlin | Statement: [Nikolaiviertel, locatedIn, central Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: central Berlin Context triple: [Nikolaiviertel, locatedIn, central Berlin]
-
A.
Berlin Commercial District
The Berlin Commercial District is the historic downtown core of Berlin, Maryland, known for its preserved 19th- and early 20th-century architecture, small businesses, and walkable main-street character.
-
B.
Berlin-Mitte locality
chosen
Berlin-Mitte locality is a central urban district of Berlin known for its historic core, major government buildings, and many of the city’s most prominent cultural and tourist landmarks.
-
C.
East Berlin
East Berlin was the Soviet-controlled eastern sector of Berlin that served as the capital of East Germany during the Cold War.
-
D.
Bornheim Mitte
Bornheim Mitte is a central public transit station in Frankfurt’s Bornheim district, serving as a key stop on the city’s U-Bahn network.
-
E.
Berlin Gesundbrunnen
Berlin Gesundbrunnen is a major railway and transport hub in northern Berlin, serving regional, long-distance, and S-Bahn trains as well as local U-Bahn and bus connections.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf635a4648190af907a686d87f073 |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14371e2081908d0a798d3b785c3c |
completed | March 31, 2026, 12:24 a.m. |
Created at: March 30, 2026, 4:34 p.m.