Triple
T22183661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna U-Bahn line U3 |
E548234
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Schlachthausgasse
Schlachthausgasse is a Vienna U-Bahn station on line U3 located in the Landstraße district of Austria’s capital.
|
E1531565
|
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: Schlachthausgasse | Statement: [Vienna U-Bahn line U3, hasStation, Schlachthausgasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlachthausgasse Context triple: [Vienna U-Bahn line U3, hasStation, Schlachthausgasse]
-
A.
Biebergasse
Biebergasse is a shopping street in central Frankfurt am Main, Germany, known for its retail stores and proximity to the Hauptwache square.
-
B.
Johannesgasse
Johannesgasse is a historic street in central Vienna, Austria, known for its proximity to the Ringstrasse and several notable cultural and architectural landmarks.
-
C.
Kochergasse
Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
-
D.
Dorotheergasse
Dorotheergasse is a historic street in central Vienna, Austria, known for its traditional architecture, antique shops, and proximity to major pedestrian thoroughfares.
-
E.
Schützengasse
Schützengasse is a street in Berlin, Germany, known for giving its name to a nearby residential building.
- 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: Schlachthausgasse Triple: [Vienna U-Bahn line U3, hasStation, Schlachthausgasse]
Generated description
Schlachthausgasse is a Vienna U-Bahn station on line U3 located in the Landstraße district of Austria’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schlachthausgasse Target entity description: Schlachthausgasse is a Vienna U-Bahn station on line U3 located in the Landstraße district of Austria’s capital.
-
A.
Biebergasse
Biebergasse is a shopping street in central Frankfurt am Main, Germany, known for its retail stores and proximity to the Hauptwache square.
-
B.
Johannesgasse
Johannesgasse is a historic street in central Vienna, Austria, known for its proximity to the Ringstrasse and several notable cultural and architectural landmarks.
-
C.
Kochergasse
Kochergasse is a central street in Bern, Switzerland, situated in the government district close to the Federal Palace and other key federal institutions.
-
D.
Dorotheergasse
Dorotheergasse is a historic street in central Vienna, Austria, known for its traditional architecture, antique shops, and proximity to major pedestrian thoroughfares.
-
E.
Schützengasse
Schützengasse is a street in Berlin, Germany, known for giving its name to a nearby residential building.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa75440819084cbe9176b9edb47 |
completed | April 28, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad507d7608190bd8e66d1136d4b7a |
completed | May 18, 2026, 8:59 a.m. |
| NEDg | Description generation | batch_6a0ad991a1e48190ad240a20694223fc |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada2a61b881908a636b2d1d6e4509 |
completed | May 18, 2026, 9:21 a.m. |
Created at: April 16, 2026, 8:35 p.m.