Triple
T21513344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U8 |
E530781
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Boddinstraße
Boddinstraße is a Berlin U-Bahn station on the U8 line located in the Neukölln district.
|
E1504425
|
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: Boddinstraße | Statement: [U8, hasStation, Boddinstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boddinstraße Context triple: [U8, hasStation, Boddinstraße]
-
A.
Bolkerstraße
Bolkerstraße is a historic and lively street in Düsseldorf’s Altstadt, known for its dense concentration of bars, restaurants, and nightlife.
-
B.
Ruppertstraße
Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
-
C.
Glauburgstraße
Glauburgstraße is a station on the Frankfurt U-Bahn network in Frankfurt am Main, Germany.
-
D.
Siesmayerstraße
Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
-
E.
Bleibtreustraße
Bleibtreustraße is a well-known street in Berlin’s Charlottenburg district, noted for its mix of shops, cafés, and historic residential buildings.
- 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: Boddinstraße Triple: [U8, hasStation, Boddinstraße]
Generated description
Boddinstraße is a Berlin U-Bahn station on the U8 line located in the Neukölln district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boddinstraße Target entity description: Boddinstraße is a Berlin U-Bahn station on the U8 line located in the Neukölln district.
-
A.
Bolkerstraße
Bolkerstraße is a historic and lively street in Düsseldorf’s Altstadt, known for its dense concentration of bars, restaurants, and nightlife.
-
B.
Ruppertstraße
Ruppertstraße is a street in Munich, Germany, situated near the Theresienwiese area known for hosting the annual Oktoberfest.
-
C.
Glauburgstraße
Glauburgstraße is a station on the Frankfurt U-Bahn network in Frankfurt am Main, Germany.
-
D.
Siesmayerstraße
Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
-
E.
Bleibtreustraße
Bleibtreustraße is a well-known street in Berlin’s Charlottenburg district, noted for its mix of shops, cafés, and historic residential buildings.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bb385888190b27aca9e5864cf15 |
completed | May 17, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_6a0a4c9a02bc8190b285694c2710b825 |
completed | May 17, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4d5d1b448190ba4387b0a3cc4285 |
completed | May 17, 2026, 11:21 p.m. |
Created at: April 16, 2026, 6:25 p.m.