Triple

T1519134
Position Surface form Disambiguated ID Type / Status
Subject Transportation and Ticket Center E32185 entity
Predicate parkingRelation P28595 FINISHED
Object adjacent to Magic Kingdom parking lot 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: adjacent to Magic Kingdom parking lot | Statement: [Transportation and Ticket Center, parkingRelation, adjacent to Magic Kingdom parking lot]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: parkingRelation
Context triple: [Transportation and Ticket Center, parkingRelation, adjacent to Magic Kingdom parking lot]
  • A. parkingStructure chosen
    Indicates that one entity is a parking facility or structure associated with another entity (such as a building, location, or organization).
  • B. parkingType
    Indicates the specific kind or category of parking arrangement associated with an entity (e.g., street, garage, lot, reserved).
  • C. parkSystem
    Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
  • D. hasParking
    Indicates that a place or facility provides designated parking space(s) available for use.
  • E. parkSection
    Indicates a relationship where a specific area or subsection belongs to, is contained within, or is designated as part of a larger park.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a93d4756888190bf3872154de11539 completed March 5, 2026, 8:22 a.m.
PD Predicate disambiguation batch_69a907ac7ea081908dd95bb5cc3b9847 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.