Triple

T3078745
Position Surface form Disambiguated ID Type / Status
Subject Cowes E64202 entity
Predicate hasFerryType P45739 FINISHED
Object passenger catamaran 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 catamaran | Statement: [Cowes, hasFerryType, passenger catamaran]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFerryType
Context triple: [Cowes, hasFerryType, passenger catamaran]
  • A. hasFerryService
    Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
  • B. hasFerryPort
    Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
  • C. hasNearbyFerryPort
    Indicates that one location is situated close enough to another location that serves as a ferry port to be considered nearby.
  • D. ferryRange
    Indicates the maximum distance an aircraft can fly without payload or passengers, typically with full fuel, under specified conditions.
  • E. hasNumberOfFerrySlips
    Indicates the specific count of ferry slips associated with or available at a given entity.
  • F. None of above. chosen

Provenance (4 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a86a848190a47ca127cc7e6326 completed March 8, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69ad9debb6308190be28378ae1fc98af completed March 8, 2026, 4:03 p.m.
PDg Predicate description generation batch_69ada0f6fef48190b13898be383a246b completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:02 p.m.