Triple

T179350
Position Surface form Disambiguated ID Type / Status
Subject Riemannian manifold E3649 entity
Predicate specialCaseOf P7025 FINISHED
Object smooth manifold with additional structure 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: smooth manifold with additional structure | Statement: [Riemannian manifold, specialCaseOf, smooth manifold with additional structure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: specialCaseOf
Context triple: [Riemannian manifold, specialCaseOf, smooth manifold with additional structure]
  • A. specialMunicipality
    Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
  • B. hasSpecialUnit
    Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
  • C. interpretedInCase
    Indicates that something is understood, analyzed, or given meaning within the context of a particular case or specific situational scenario.
  • D. custom
    Indicates that something is specially created, configured, or tailored for a particular purpose, context, or user rather than being standard or generic.
  • E. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25900709c8190a65e778936be5dd5 completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a2566b53d481909c0ed40dd3719e8c completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2582b7f648190b0ef676b8bdc1c65 completed Feb. 28, 2026, 2:51 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.