Triple
T10832618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Coach Station |
E255660
|
entity |
| Predicate | primaryOperator |
P5623
|
FINISHED |
| Object | FlixBus |
E270812
|
NE 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: FlixBus | Statement: [Victoria Coach Station, primaryOperator, FlixBus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FlixBus Context triple: [Victoria Coach Station, primaryOperator, FlixBus]
-
A.
FlixBus
chosen
FlixBus is a long-distance intercity bus company offering low-cost coach travel across numerous cities in North America and Europe.
-
B.
DB Regio Bus
DB Regio Bus is the regional and local bus transport division of Deutsche Bahn, operating extensive bus services across Germany.
-
C.
BoltBus
BoltBus is a low-cost intercity bus service in the United States and Canada known for offering budget-friendly fares and modern onboard amenities.
-
D.
Megabus
Megabus is a low-cost intercity coach service known for operating long-distance bus routes across major cities in North America and Europe.
-
E.
TMB Bus Turístic app
The TMB Bus Turístic app is a mobile application that helps users plan, navigate, and access information about Barcelona’s official tourist bus routes and services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7442323948190afd9488815f7908b |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de85a068b08190948c3ca32cdda147 |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:19 p.m.