Triple

T13661113
Position Surface form Disambiguated ID Type / Status
Subject The Parking Garage E326994 entity
Predicate hasCharacterAction P16860 FINISHED
Object characters wander multiple levels of a parking structure 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: characters wander multiple levels of a parking structure | Statement: [The Parking Garage, hasCharacterAction, characters wander multiple levels of a parking structure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharacterAction
Context triple: [The Parking Garage, hasCharacterAction, characters wander multiple levels of a parking structure]
  • A. hasCharacterControl
    Indicates that one entity has the ability or authority to direct, manipulate, or govern the behavior or state of another entity.
  • B. hasCurrentCharacter
    Indicates that an entity is associated with or possesses a specific character that is currently active or in use.
  • C. hasCharacterPresence
    Indicates that a particular character appears or is present within a specified context, such as a scene, work, or medium.
  • D. hasAct chosen
    Indicates that an entity performs, participates in, or is associated with a specific act or action.
  • E. hasPlayableCharacter
    Indicates that an entity includes or is associated with a character that a user can control or play as.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
PD Predicate disambiguation batch_69dbbe8a027081908d8f884b89707a5e completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:52 p.m.