Triple

T3790850
Position Surface form Disambiguated ID Type / Status
Subject Kerrera E89641 entity
Predicate ferryType P45739 FINISHED
Object passenger 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: passenger ferry | Statement: [Kerrera, ferryType, passenger ferry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ferryType
Context triple: [Kerrera, ferryType, passenger ferry]
  • A. hasFerryType chosen
    Indicates that an entity (such as a ferry route or service) is associated with a specific type or category of ferry.
  • B. hasFerryService
    Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
  • C. ferryRange
    Indicates the maximum distance an aircraft can fly without payload or passengers, typically with full fuel, under specified conditions.
  • D. ferryOperator
    Indicates that one entity operates, manages, or runs a ferry service for another entity or in a particular context.
  • E. hullType
    Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecefa3608190a7a20ed6df6a64b2 completed March 9, 2026, 3:53 p.m.
PD Predicate disambiguation batch_69aee743c8d08190a9f9c97b836bd703 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:15 p.m.