Triple

T16352604
Position Surface form Disambiguated ID Type / Status
Subject Europorte E397095 entity
Predicate hasParentCompany P20316 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: [Europorte, hasParentCompany, Getlink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getlink
Context triple: [Europorte, hasParentCompany, 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. ELink
    ELink is an NCBI E-utilities tool that retrieves and navigates links between related records across NCBI databases.
  • C. 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.
  • D. Linky
    Linky is a French smart electricity meter system deployed nationwide to enable remote readings, real-time consumption monitoring, and improved grid management.
  • E. BobLinks
    BobLinks is a fan-maintained online archive that compiles detailed information and setlists from Bob Dylan’s concerts.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2faccab748190b11e0808e422f2ea completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3f93348190b835218ae42f3463 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:07 a.m.