Triple

T25864101
Position Surface form Disambiguated ID Type / Status
Subject Leopard E651563 entity
Predicate distinguishedFromJaguarBy P160294 FINISHED
Object smaller size and rosettes without central spots 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: smaller size and rosettes without central spots | Statement: [Leopard, distinguishedFromJaguarBy, smaller size and rosettes without central spots]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distinguishedFromJaguarBy
Context triple: [Leopard, distinguishedFromJaguarBy, smaller size and rosettes without central spots]
  • A. distinguishedFromHorsesBy
    Indicates that one entity is characterized or identified by specific features that set it apart from horses.
  • B. mechanicallyDistinctFrom
    Indicates that two entities differ in their mechanical properties, structure, or behavior such that they are not mechanically equivalent or interchangeable.
  • C. distinguishedFromRodentsBy
    Indicates that one entity is set apart from or contrasted with rodents based on specific distinguishing characteristics or criteria.
  • D. wheelbaseComparedTo
    Indicates a comparison between the distances between the front and rear wheel axles (wheelbases) of two entities, specifying how one wheelbase relates in size or length to the other.
  • E. isMilitaryVariantOf
    Indicates that one entity is a military-specific version or adaptation of another, typically civilian or general-purpose, entity.
  • F. None of above. chosen

Provenance (4 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_69e7ab3a199c81909227cb964cacfe24 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6026ddccc8190a7d7cc460a5ede96 completed May 2, 2026, 1:55 p.m.
PD Predicate disambiguation batch_69f5f7fba5248190945acf1561280799 completed May 2, 2026, 1:11 p.m.
PDg Predicate description generation batch_69f600be0de88190989611e952b03117 completed May 2, 2026, 1:48 p.m.
Created at: April 22, 2026, 8:06 a.m.