Triple
T12762310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Express |
E305024
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | National Express Group |
E305024
|
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: National Express Group | Statement: [National Express, formerName, National Express Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: National Express Group Context triple: [National Express, formerName, National Express Group]
-
A.
National Express
chosen
National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
-
B.
TNT Express
TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
-
C.
FirstGroup
FirstGroup is a major UK-based transport operator that runs bus and rail services across the United Kingdom and North America.
-
D.
Regional Express Pty Ltd
Regional Express Pty Ltd is an Australian regional airline operating under the brand name Rex Airlines, providing passenger services to numerous domestic destinations.
-
E.
United Express
United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8f9f588190bffdea878856204b |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f298f881908ad77f2d0ab588a8 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.