Triple

T693697
Position Surface form Disambiguated ID Type / Status
Subject thing-in-itself E13850 entity
Predicate roleInKantianSystem P268 FINISHED
Object grounds appearances without itself being an appearance 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: grounds appearances without itself being an appearance | Statement: [thing-in-itself, roleInKantianSystem, grounds appearances without itself being an appearance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInKantianSystem
Context triple: [thing-in-itself, roleInKantianSystem, grounds appearances without itself being an appearance]
  • A. hasEthicalRole
    Indicates that an entity holds a position, function, or responsibility defined in terms of ethical duties, norms, or moral obligations in relation to another entity or context.
  • B. positionOnEthics
    Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
  • C. philosophicalPositionExpressed
    Indicates that an entity articulates, endorses, or otherwise conveys a specific philosophical stance, view, or doctrine.
  • D. role chosen
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • E. roleInText
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0b1e1d08190bdd42f57be5c2a6b completed March 1, 2026, 8:25 p.m.
PD Predicate disambiguation batch_69a49d23e0a08190b08be9d1eff2a1bb completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.