Triple

T3966638
Position Surface form Disambiguated ID Type / Status
Subject Le Shuttle E92231 entity
Predicate owner P347 FINISHED
Object Getlink E90397 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: Getlink | Statement: [Le Shuttle, owner, Getlink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getlink
Context triple: [Le Shuttle, owner, Getlink]
  • A. Getlink chosen
    Getlink is a French-based company that owns and operates the infrastructure of the Channel Tunnel rail link between the United Kingdom and continental Europe.
  • B. LinkPass
    LinkPass is a type of transit fare product used within the same system as the CharlieTicket, providing riders with a pass-based option for public transportation access.
  • C. Fieldlink
    Fieldlink was an early digital payments and security startup co-founded by Max Levchin that later evolved into the company behind PayPal.
  • D. The Link
    The Link is a key University College Birmingham facility that provides modern teaching, learning, and student support spaces.
  • E. Q-LINK
    Q-LINK is the radio callsign used by QantasLink, the regional airline brand of Qantas Airways in Australia.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef976f4fc8190b2c16ab62c19cdb8 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54006b5e48190973e30055a0893a5 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:32 p.m.