Triple
T5522426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn |
E144841
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Seestraße depot
Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
|
E538938
|
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: Seestraße depot | Statement: [Berlin U-Bahn, hasDepot, Seestraße depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seestraße depot Context triple: [Berlin U-Bahn, hasDepot, Seestraße depot]
-
A.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
B.
Grunewald depot
Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
-
C.
Britz-Süd depot
Britz-Süd depot is a maintenance and storage facility for trains of Berlin’s U7 underground line, located near the Britz-Süd station in the Neukölln district.
-
D.
Elsau depot
Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
-
E.
Friedrichsfelde depot
Friedrichsfelde depot is a maintenance and storage facility serving Berlin's U-Bahn rapid transit system.
- 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: Seestraße depot Triple: [Berlin U-Bahn, hasDepot, Seestraße depot]
Generated description
Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seestraße depot Target entity description: Seestraße depot is a major maintenance and storage facility for trains on Berlin’s U-Bahn rapid transit network.
-
A.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
B.
Grunewald depot
Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
-
C.
Britz-Süd depot
Britz-Süd depot is a maintenance and storage facility for trains of Berlin’s U7 underground line, located near the Britz-Süd station in the Neukölln district.
-
D.
Elsau depot
Elsau depot is a tram maintenance and storage facility serving the Strasbourg tramway network in Strasbourg, France.
-
E.
Friedrichsfelde depot
Friedrichsfelde depot is a maintenance and storage facility serving Berlin's U-Bahn rapid transit system.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f73cc8c8190a92a839c1ca804c7 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059d775308190b6b8f86b34e435d9 |
completed | March 22, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69c05b3696c0819081e869a229fb881f |
completed | March 22, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05bb8a4988190b1b27f42e22d0187 |
completed | March 22, 2026, 9:14 p.m. |
Created at: March 22, 2026, 3:34 p.m.