Triple

T26254914
Position Surface form Disambiguated ID Type / Status
Subject T : z ↦ z + 1 E656690 entity
Predicate preservesSet P123287 FINISHED
Object ℤ-translates of any vertical geodesic 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: ℤ-translates of any vertical geodesic | Statement: [T : z ↦ z + 1, preservesSet, ℤ-translates of any vertical geodesic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preservesSet
Context triple: [T : z ↦ z + 1, preservesSet, ℤ-translates of any vertical geodesic]
  • A. isPreservedBy
    Indicates that something remains unchanged, intact, or maintained as it is due to the action or influence of a particular agent or process.
  • B. invariantSet chosen
    Indicates that a set remains unchanged under a specified transformation, operation, or dynamic process.
  • C. preservesFeature
    Indicates that one entity maintains or keeps intact a particular feature, property, or characteristic of another entity during some process or interaction.
  • D. hasPreserved
    Indicates that one entity has kept another entity intact, unchanged, or maintained in its original or functional state over time.
  • E. sets
    Indicates that an entity places, positions, or puts another entity into a particular state, location, or configuration.
  • 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_69ee5b4d25ac819086acb51184602576 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f66598d6008190a7ca8ff80399fd34 completed May 2, 2026, 8:59 p.m.
Created at: April 26, 2026, 9:08 p.m.