Triple

T4193542
Position Surface form Disambiguated ID Type / Status
Subject law of three stages E89089 entity
Predicate positiveStageCharacterizedBy P662 FINISHED
Object explanation through empirical science 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: explanation through empirical science | Statement: [law of three stages, positiveStageCharacterizedBy, explanation through empirical science]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positiveStageCharacterizedBy
Context triple: [law of three stages, positiveStageCharacterizedBy, explanation through empirical science]
  • A. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • B. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • C. status
    Indicates the current condition, state, or standing of an entity within a given context.
  • D. stageOf
    Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
  • E. neutralized
    Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af04b009dc8190abda3f149a5b16fa completed March 9, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69af01935064819096b7619f42e164dd completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:46 p.m.