Triple

T1118266
Position Surface form Disambiguated ID Type / Status
Subject East Cowes E11150 entity
Predicate hasTypeOfTransport P1379 FINISHED
Object vehicle ferry 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: vehicle ferry | Statement: [East Cowes, hasTypeOfTransport, vehicle ferry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfTransport
Context triple: [East Cowes, hasTypeOfTransport, vehicle ferry]
  • A. transportType chosen
    Indicates the mode or means of transportation used in carrying something or someone from one place to another.
  • B. hasGroundTransportation
    Indicates that an entity provides, includes, or is connected to transportation services or options that operate on land (e.g., cars, buses, trains).
  • C. hasTransportRoute
    Indicates that there exists a designated transportation connection or route linking one entity to another.
  • D. hasTransportationSystem
    Indicates that an entity possesses, operates, or is served by an organized system for transporting people or goods.
  • E. hasVehicle
    Indicates that one entity possesses, owns, or is assigned a vehicle.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:43 p.m.