Triple

T10575173
Position Surface form Disambiguated ID Type / Status
Subject Hola Barcelona Travel Card E249590 entity
Predicate validityCountingMethod P41948 FINISHED
Object consecutive hours from first validation 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: consecutive hours from first validation | Statement: [Hola Barcelona Travel Card, validityCountingMethod, consecutive hours from first validation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: validityCountingMethod
Context triple: [Hola Barcelona Travel Card, validityCountingMethod, consecutive hours from first validation]
  • A. validityType
    Indicates the specific kind or category of validity that characterizes how or under what conditions something is considered valid.
  • B. areCountedBy
    Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
  • C. votingMethod
    Indicates the procedure or system by which a vote is cast, collected, and counted in a decision-making or electoral process.
  • D. countingRule chosen
    Indicates the rule or method used to count or quantify items, events, or entities in a given context.
  • E. hasValidity
    Indicates that something possesses a period or condition during which it is considered legally, logically, or functionally acceptable or in force.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274b100c8190b477ef4cb745c269 completed April 7, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69d51901ff6c819095e7b528170a69dc completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:38 p.m.