Triple

T7138952
Position Surface form Disambiguated ID Type / Status
Subject The Land of Topsy-Turvy E166388 entity
Predicate ruleStructure P6730 FINISHED
Object reversed cause and effect 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: reversed cause and effect | Statement: [The Land of Topsy-Turvy, ruleStructure, reversed cause and effect]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ruleStructure
Context triple: [The Land of Topsy-Turvy, ruleStructure, reversed cause and effect]
  • A. forceStructure
    Indicates a relationship where one entity imposes or defines the structural arrangement, organization, or configuration of another entity.
  • B. segmentStructure
    Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
  • C. compositionRule chosen
    Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
  • D. regulatoryStructure
    Indicates a relationship where one entity serves as a regulatory framework, mechanism, or control system that governs, constrains, or modulates the behavior or operation of another entity.
  • E. actStructure
    Indicates a structural or organizational relationship that defines how an action or activity is arranged, composed, or internally organized.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e694cc3c81908b0d54c2496a0722 completed March 27, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69c6e1c932888190b125ca3785b18553 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:45 p.m.