Triple
T4163167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U3 |
E91577
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object |
Gustav-Adolf-Straße
Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
|
E444782
|
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: Gustav-Adolf-Straße | Statement: [U3, hasTerminus, Gustav-Adolf-Straße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gustav-Adolf-Straße Context triple: [U3, hasTerminus, Gustav-Adolf-Straße]
-
A.
Gneisenaustraße
Gneisenaustraße is a Berlin U-Bahn station on line U7 located in the Kreuzberg district.
-
B.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
-
C.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
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: Gustav-Adolf-Straße Triple: [U3, hasTerminus, Gustav-Adolf-Straße]
Generated description
Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gustav-Adolf-Straße Target entity description: Gustav-Adolf-Straße is a subway station that serves as a terminus on Munich’s U3 line.
-
A.
Gneisenaustraße
Gneisenaustraße is a Berlin U-Bahn station on line U7 located in the Kreuzberg district.
-
B.
Friedrichstraße
Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
-
C.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a811608190aff8b663498711e8 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b66b25d00481909eaf22c7c797c3f1 |
completed | March 15, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69b66d352b448190b17aebe31fd7d765 |
completed | March 15, 2026, 8:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b66d817940819083028a48198d8fbb |
completed | March 15, 2026, 8:27 a.m. |
Created at: March 9, 2026, 3:44 p.m.