Triple

T3304669
Position Surface form Disambiguated ID Type / Status
Subject Objective Knowledge E69417 entity
Predicate developsTheory P47923 FINISHED
Object objective knowledge as World 3 objects 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: objective knowledge as World 3 objects | Statement: [Objective Knowledge, developsTheory, objective knowledge as World 3 objects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developsTheory
Context triple: [Objective Knowledge, developsTheory, objective knowledge as World 3 objects]
  • A. theorized
    Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
  • B. presentsTheory
    Indicates that one entity formally puts forward or explains a theory to another entity or audience.
  • C. appliesTheory
    Indicates that an entity uses or implements a particular theory in analyzing, explaining, or addressing something.
  • D. theoreticalTradition
    Indicates that one entity belongs to, is framed within, or is analyzed according to the theoretical tradition represented by the other entity.
  • E. occursInTheory
    Indicates that an event, concept, or phenomenon is situated, described, or analyzed within a particular theoretical framework or theory.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c8179081908a2595d1fdb7560a completed March 8, 2026, 5:24 p.m.
PD Predicate disambiguation batch_69ada42625308190be257f16a623a410 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada526764881908e4bd52938d5374d completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:11 p.m.