Triple
T20061994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verkehrs- und Tarifverbund Stuttgart |
E499497
|
entity |
| Predicate | hasMobileApp |
P1395
|
FINISHED |
| Object | VVS app |
—
|
NE NERFINISHED |
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: VVS app | Statement: [Verkehrs- und Tarifverbund Stuttgart, hasMobileApp, VVS app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VVS app Context triple: [Verkehrs- und Tarifverbund Stuttgart, hasMobileApp, VVS app]
-
A.
VVS
chosen
VVS is the public transport association and integrated fare network serving Stuttgart and its surrounding region in Germany.
-
B.
VVS
VVS was the air force branch of the Soviet Union’s armed forces, responsible for military aviation and air defense operations.
-
C.
integrated with VVS
Integrated with VVS is the unified public transport fare system covering Stuttgart and its surrounding region, allowing seamless travel across various transit modes and operators.
-
D.
VVSS
VVSS (Vertical Volute Spring Suspension) is an early U.S. tank suspension system using vertical volute springs to support and cushion tracked armored vehicles.
-
E.
Vy mobile app
Vy mobile app is a mobile application that allows users to plan journeys and purchase tickets for Vy’s regional train services in Norway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66376f2d4819081b9e1b265650e5b |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.