Triple

T17149224
Position Surface form Disambiguated ID Type / Status
Subject Superman: Ultimate Flight E416174 entity
Predicate inversionElement P68257 FINISHED
Object pretzel loop 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: pretzel loop | Statement: [Superman: Ultimate Flight, inversionElement, pretzel loop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inversionElement
Context triple: [Superman: Ultimate Flight, inversionElement, pretzel loop]
  • A. inversionType
    Indicates the specific kind or category of inversion relationship that holds between entities, such as one being the reverse, opposite, or role-swapped form of the other.
  • B. hasInversionCapability
    Indicates that an entity possesses the ability to reverse or invert another entity, state, or process.
  • C. usesElement
    Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
  • D. interactiveElement
    Indicates that one entity functions as an interface component designed to receive and respond to user actions initiated by another entity.
  • E. featuresInversion chosen
    Indicates that one entity exhibits or incorporates an inversion of another entity, such as a reversed, mirrored, or otherwise inverted form or structure.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4059d90819092d3609326fa3130 completed April 18, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69e3830d2a90819092386717dc56f0e8 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:36 a.m.