Triple

T20626022
Position Surface form Disambiguated ID Type / Status
Subject Europa Buscentre E506818 entity
Predicate servesOperator P5884 FINISHED
Object National Express 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 | Statement: [Europa Buscentre, servesOperator, National Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Express
Context triple: [Europa Buscentre, servesOperator, National Express]
  • 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. SA Express
    SA Express was a South African regional airline that operated domestic and short-haul routes, often feeding traffic to larger national carriers.
  • D. MTS Express
    MTS Express is a faster, limited-stop bus service operated as part of the MTS Bus public transit system.
  • E. Channel Express
    Channel Express was a British airline that operated cargo and passenger services before rebranding and evolving into the low-cost carrier Jet2.com.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe490a08190b8fe49da78ebd6cc completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1d9fc881909afe38600d8556b1 completed May 16, 2026, 6:44 p.m.
Created at: April 16, 2026, 11:42 a.m.