Triple

T8480718
Position Surface form Disambiguated ID Type / Status
Subject Washington State Ferries E200508 entity
Predicate largestBy P4495 FINISHED
Object ferry system in the United States by ridership 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: ferry system in the United States by ridership | Statement: [Washington State Ferries, largestBy, ferry system in the United States by ridership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestBy
Context triple: [Washington State Ferries, largestBy, ferry system in the United States by ridership]
  • A. isLargestOf chosen
    Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
  • B. largestPartIn
    Indicates that one entity is the largest component or segment contained within another entity.
  • C. hasLargestElementOrder
    Indicates that, among a set of elements (typically group elements), one element has an order that is greater than or equal to the order of every other element in the set.
  • D. largestOperator
    Indicates that the subject is the operator with the greatest size, capacity, or scale among a specified set of operators.
  • E. largerThan
    Indicates that one entity has a greater size, extent, or magnitude than another entity.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5245034819088c7c5c40170c020 completed March 31, 2026, 3:15 p.m.
PD Predicate disambiguation batch_69cbd104250c8190b4c499dcc9937494 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:12 p.m.