Triple
T14755448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graben (street) |
E346717
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Grabenhof
Grabenhof is a notable building complex located on Vienna’s historic Graben street, known for its characteristic 19th-century architecture and prominent city-center location.
|
E1117265
|
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: Grabenhof | Statement: [Graben (street), hasPart, Grabenhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grabenhof Context triple: [Graben (street), hasPart, Grabenhof]
-
A.
Schickenhof
Schickenhof is a small locality in Germany best known as the birthplace of Nobel Prize–winning physicist Johannes Stark.
-
B.
Marienhof
Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
-
C.
Hartmannshof
Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
-
D.
Samenhof
Samenhof is a surname most notably associated with L. L. Zamenhof, the creator of the constructed international language Esperanto.
-
E.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
- 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: Grabenhof Triple: [Graben (street), hasPart, Grabenhof]
Generated description
Grabenhof is a notable building complex located on Vienna’s historic Graben street, known for its characteristic 19th-century architecture and prominent city-center location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grabenhof Target entity description: Grabenhof is a notable building complex located on Vienna’s historic Graben street, known for its characteristic 19th-century architecture and prominent city-center location.
-
A.
Schickenhof
Schickenhof is a small locality in Germany best known as the birthplace of Nobel Prize–winning physicist Johannes Stark.
-
B.
Marienhof
Marienhof is a German television soap opera that gained popularity in the 1990s and 2000s for its portrayal of everyday life and relationships in a fictional Cologne neighborhood.
-
C.
Hartmannshof
Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
-
D.
Samenhof
Samenhof is a surname most notably associated with L. L. Zamenhof, the creator of the constructed international language Esperanto.
-
E.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9e1b8481909abea3daabe91302 |
completed | May 8, 2026, 3:05 p.m. |
| NEDg | Description generation | batch_69fdfe5f00b08190ba44acd2eed94333 |
completed | May 8, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff32e0a48190acc14ceccea3df17 |
completed | May 8, 2026, 3:20 p.m. |
Created at: April 10, 2026, 1:30 a.m.