Triple

T22476350
Position Surface form Disambiguated ID Type / Status
Subject Charonne E555638 entity
Predicate hasValidationGates P4365 FINISHED
Object automatic fare gates 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: automatic fare gates | Statement: [Charonne, hasValidationGates, automatic fare gates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasValidationGates
Context triple: [Charonne, hasValidationGates, automatic fare gates]
  • A. hasGatesFor
    Indicates that one entity is equipped with or provides access through one or more gates intended for another entity.
  • B. hasGate chosen
    Indicates that one entity possesses, includes, or is equipped with a gate as part of its structure or configuration.
  • C. hasGatekeeper
    Indicates that one entity serves as a controlling or mediating gatekeeper for access to another entity.
  • D. hasGateRange
    Indicates the range of values or interval within which a gate or gating parameter is valid or operates.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be48cec8190baff90f8566a85d0 completed April 29, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69e898b6eee08190ba673a0ee329e671 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:49 p.m.