Triple
T23436587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predigtstuhlbahn cable car |
E563478
|
entity |
| Predicate | hasValleyStationBuildingStyle |
P152270
|
FINISHED |
| Object | 1920s architecture |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1920s architecture | Statement: [Predigtstuhlbahn cable car, hasValleyStationBuildingStyle, 1920s architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasValleyStationBuildingStyle Context triple: [Predigtstuhlbahn cable car, hasValleyStationBuildingStyle, 1920s architecture]
-
A.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
B.
hasBuildingStyleInSurroundings
Indicates that an entity is surrounded by or located in an area characterized by a particular building style.
-
C.
hasValley
Indicates that one entity contains, features, or is characterized by the presence of a valley associated with the other entity.
-
D.
railwayStationStyle
Indicates that one entity is designed, built, or decorated in the architectural style characteristic of a particular railway station.
-
E.
hasStationHouseType
Indicates the specific type or classification of a station house associated with an entity.
- F. None of above. chosen
Provenance (4 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dcd4608190a543cc747e0daab8 |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:50 p.m.