Triple

T21403284
Position Surface form Disambiguated ID Type / Status
Subject Eysturoy Tunnel E527964 entity
Predicate significantlyShortensTravelTimeBetween P12934 FINISHED
Object Tórshavn and Runavík LITERAL 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: Tórshavn and Runavík | Statement: [Eysturoy Tunnel, significantlyShortensTravelTimeBetween, Tórshavn and Runavík]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantlyShortensTravelTimeBetween
Context triple: [Eysturoy Tunnel, significantlyShortensTravelTimeBetween, Tórshavn and Runavík]
  • A. significantlyShortensRouteBetween chosen
    Indicates that one entity provides a connection between two others that makes the path or travel distance between them substantially shorter than alternative routes.
  • B. reducedTravelTimeFrom
    Indicates that one entity has caused or experienced a decrease in the amount of time required to travel from a specified origin entity.
  • C. servesPassengerTrafficTo
    Indicates that a transportation facility or service provides regular passenger traffic access or operations to a particular location or area.
  • D. commutesBetween
    Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
  • E. stopsAtFewerStationsThan
    Indicates that one transit service or route makes stops at a smaller number of stations than another transit service or route.
  • F. None of above.

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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b171f3448190add844a426b0a606 completed April 22, 2026, 11:30 a.m.
PD Predicate disambiguation batch_69e61633f8208190a2a849457c4e4198 completed April 20, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:27 p.m.