Triple
T9209174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wittenbergplatz |
E221066
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object |
Kleiststraße
Kleiststraße is a street in central Berlin, Germany, located near the Wittenbergplatz area and known for its proximity to major shopping and cultural districts.
|
E790189
|
NE FINISHED |
How this triple was built (4 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: Kleiststraße | Statement: [Wittenbergplatz, hasNearbyStreet, Kleiststraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleiststraße Context triple: [Wittenbergplatz, hasNearbyStreet, Kleiststraße]
-
A.
Beusselstraße
Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
-
B.
Siesmayerstraße
Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
-
C.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
D.
Grunerstraße
Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kleiststraße Triple: [Wittenbergplatz, hasNearbyStreet, Kleiststraße]
Generated description
Kleiststraße is a street in central Berlin, Germany, located near the Wittenbergplatz area and known for its proximity to major shopping and cultural districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kleiststraße Target entity description: Kleiststraße is a street in central Berlin, Germany, located near the Wittenbergplatz area and known for its proximity to major shopping and cultural districts.
-
A.
Beusselstraße
Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
-
B.
Siesmayerstraße
Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
-
C.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
D.
Grunerstraße
Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- F. None of above. chosen
Provenance (5 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1adc2508190b8a24510ee61f092 |
completed | April 4, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_69d0b2b9fbf4819083e594d676323c65 |
completed | April 4, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b343a040819098620e2e3c451b39 |
completed | April 4, 2026, 6:44 a.m. |
Created at: March 30, 2026, 7:26 p.m.