Triple
T14266182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U9 |
E353649
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Birkenstraße
Birkenstraße is a Berlin U-Bahn station on line U9 located in the Moabit district of the city.
|
E1113283
|
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: Birkenstraße | Statement: [U9, hasStation, Birkenstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birkenstraße Context triple: [U9, hasStation, Birkenstraße]
-
A.
Hedderichstraße
Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
-
B.
Bolkerstraße
Bolkerstraße is a historic and lively street in Düsseldorf’s Altstadt, known for its dense concentration of bars, restaurants, and nightlife.
-
C.
Bergmannstraße
Bergmannstraße is a notable street in Berlin, Germany, known for its lively mix of cafés, shops, and historic sites including the Luisenstädtischer Friedhof cemetery.
-
D.
Langenstraße
Langenstraße is a district or neighborhood within the town of Rüthen in North Rhine-Westphalia, Germany.
-
E.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
- 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: Birkenstraße Triple: [U9, hasStation, Birkenstraße]
Generated description
Birkenstraße is a Berlin U-Bahn station on line U9 located in the Moabit district of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Birkenstraße Target entity description: Birkenstraße is a Berlin U-Bahn station on line U9 located in the Moabit district of the city.
-
A.
Hedderichstraße
Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
-
B.
Bolkerstraße
Bolkerstraße is a historic and lively street in Düsseldorf’s Altstadt, known for its dense concentration of bars, restaurants, and nightlife.
-
C.
Bergmannstraße
Bergmannstraße is a notable street in Berlin, Germany, known for its lively mix of cafés, shops, and historic sites including the Luisenstädtischer Friedhof cemetery.
-
D.
Langenstraße
Langenstraße is a district or neighborhood within the town of Rüthen in North Rhine-Westphalia, Germany.
-
E.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde15f2cd8819085f949fa5122af2a |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde33636088190905a1b4514a29d82 |
completed | May 8, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde39e14788190838af5f6ac1e3ba7 |
completed | May 8, 2026, 1:22 p.m. |
Created at: April 10, 2026, 1:09 a.m.