Triple
T23548973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krieau U-Bahn station |
E577983
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
U2 Krieau
U2 Krieau is the station code designating the Krieau stop on Vienna’s U2 underground metro line.
|
E1590892
|
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: U2 Krieau | Statement: [Krieau U-Bahn station, hasStationCode, U2 Krieau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U2 Krieau Context triple: [Krieau U-Bahn station, hasStationCode, U2 Krieau]
-
A.
U2 Praterstern
U2 Praterstern is a major Vienna U-Bahn station and transport hub serving the Praterstern area near the Prater and Hauptallee.
-
B.
Uvernet-Fours
Uvernet-Fours is a small mountain commune in southeastern France, known for its alpine landscapes and proximity to the Pra-Loup ski resort.
-
C.
Kreiti u-Pleiti
Kreiti u-Pleiti is a renowned halachic commentary by Rabbi Yonatan Eybeschutz on the Shulchan Aruch, particularly its sections dealing with Jewish civil and ritual law.
-
D.
U2
U2 is one of the main rapid transit lines of the Nuremberg U-Bahn system in Nuremberg, Germany.
-
E.
U2
U2 is a major line of the Berlin U-Bahn rapid transit system, running east–west across the city and serving many central and historically significant stations.
- 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: U2 Krieau Triple: [Krieau U-Bahn station, hasStationCode, U2 Krieau]
Generated description
U2 Krieau is the station code designating the Krieau stop on Vienna’s U2 underground metro line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U2 Krieau Target entity description: U2 Krieau is the station code designating the Krieau stop on Vienna’s U2 underground metro line.
-
A.
U2 Praterstern
U2 Praterstern is a major Vienna U-Bahn station and transport hub serving the Praterstern area near the Prater and Hauptallee.
-
B.
Uvernet-Fours
Uvernet-Fours is a small mountain commune in southeastern France, known for its alpine landscapes and proximity to the Pra-Loup ski resort.
-
C.
Kreiti u-Pleiti
Kreiti u-Pleiti is a renowned halachic commentary by Rabbi Yonatan Eybeschutz on the Shulchan Aruch, particularly its sections dealing with Jewish civil and ritual law.
-
D.
U2
U2 is one of the main rapid transit lines of the Nuremberg U-Bahn system in Nuremberg, Germany.
-
E.
U2
U2 is a major line of the Berlin U-Bahn rapid transit system, running east–west across the city and serving many central and historically significant stations.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecd60a881908c257d9ba67080c8 |
completed | April 29, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf64472c81908be229baf3393939 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce1c95bf48190885b616924a1d8c1 |
completed | May 19, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce2ab0d3081908a9c4c097d520011 |
completed | May 19, 2026, 10:22 p.m. |
Created at: April 17, 2026, 6:11 p.m.