Triple

T37688402
Position Surface form Disambiguated ID Type / Status
Subject Axioms of Intuition E938435 entity
Predicate distinguishedFrom P1612 FINISHED
Object Analogies of Experience
Analogies of Experience are a set of Kantian principles in the Critique of Pure Reason that govern how we objectively determine temporal relations and causal connections between appearances in experience.
E2239437 NE 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: Analogies of Experience | Statement: [Axioms of Intuition, distinguishedFrom, Analogies of Experience]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Analogies of Experience
Triple: [Axioms of Intuition, distinguishedFrom, Analogies of Experience]
Generated description
Analogies of Experience are a set of Kantian principles in the Critique of Pure Reason that govern how we objectively determine temporal relations and causal connections between appearances in experience.

Provenance (5 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_69f76ed881408190bc62a969530a4a53 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbadffbdc48190a61f0dd0bc9a6847 completed May 6, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40cdbc997c81908d72df9a2fc1a5cc completed June 28, 2026, 7:31 a.m.
NEDg Description generation batch_6a40ce982f0c8190a3491d87a183920e completed June 28, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a40d0ba92808190b2eef86fa88a78e0 completed June 28, 2026, 7:43 a.m.
Created at: May 3, 2026, 4:18 p.m.