Triple

T25006344
Position Surface form Disambiguated ID Type / Status
Subject Wall E625849 entity
Predicate accessToMagicalRealmControlledBy P15393 FINISHED
Object gap in the wall 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: gap in the wall | Statement: [Wall, accessToMagicalRealmControlledBy, gap in the wall]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accessToMagicalRealmControlledBy
Context triple: [Wall, accessToMagicalRealmControlledBy, gap in the wall]
  • A. magicalObjectThatControls
    Indicates a relationship where one magical object has the power to direct, influence, or command another entity or force.
  • B. accessedBySpell
    Indicates that something is reached, activated, or utilized through the use of a spell.
  • C. guardedEntranceTo
    Indicates that one entity serves as a protective or controlling barrier for access to another entity’s entrance.
  • D. controlsAccessTo chosen
    Indicates that one entity regulates, manages, or determines the ability of another entity to reach, use, or interact with a resource, location, or service.
  • E. hasImaginaryControlOver
    Indicates a perceived or illusory ability of one entity to direct, influence, or command another, without any actual control existing in reality.
  • 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_69e2ff26c50481908bc82e799c9e6587 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f47b865df48190bf4b6d3e9f9305e6 completed May 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69f4682c8a3c8190adbfaac99474eaaf completed May 1, 2026, 8:45 a.m.
Created at: April 18, 2026, 6:05 a.m.