Triple

T1654564
Position Surface form Disambiguated ID Type / Status
Subject Edge Lane tram stop E35767 entity
Predicate ticketBarrier P1740 FINISHED
Object no fixed barriers 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: no fixed barriers | Statement: [Edge Lane tram stop, ticketBarrier, no fixed barriers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ticketBarrier
Context triple: [Edge Lane tram stop, ticketBarrier, no fixed barriers]
  • A. ticketedAttraction
    Indicates that access to the attraction requires a purchased ticket or paid admission.
  • B. hasTicketHall
    Indicates that a place or facility includes or is equipped with a designated ticket hall area for purchasing or validating tickets.
  • C. fareControl chosen
    Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
  • D. hasTicketing
    Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
  • E. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf3359ce48190803b322db8ad6027 completed March 6, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69a907cff53c8190b424f088478d3e2c completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.