Triple

T7039948
Position Surface form Disambiguated ID Type / Status
Subject 大阪城公園駅 E163483 entity
Predicate hasTicketGate P4365 FINISHED
Object 中央改札口 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: 中央改札口 | Statement: [大阪城公園駅, hasTicketGate, 中央改札口]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTicketGate
Context triple: [大阪城公園駅, hasTicketGate, 中央改札口]
  • A. hasTicketBarrier
    Indicates that an access-controlled barrier or gate is present, typically requiring a valid ticket or pass to pass through.
  • B. hasTicketInspection
    Indicates that a ticket is checked or verified by an authorized inspector or system.
  • C. hasTicketRequirement
    Indicates that an entity is subject to a specific ticket or admission requirement in order for access, participation, or use to be allowed.
  • D. hasTicketHall
    Indicates that a place or facility includes or is equipped with a designated ticket hall area for purchasing or validating tickets.
  • E. hasGate chosen
    Indicates that one entity possesses, includes, or is equipped with a gate as part of its structure or configuration.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e4a3c36c819080942c59f1830ae8 completed March 27, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69c6e1bb602081908bfa6186a1f5a4b4 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:36 p.m.