Triple

T4547426
Position Surface form Disambiguated ID Type / Status
Subject Postscript-1969 E110079 entity
Predicate refinesConcept P44015 FINISHED
Object incommensurability of theories 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: incommensurability of theories | Statement: [Postscript-1969, refinesConcept, incommensurability of theories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refinesConcept
Context triple: [Postscript-1969, refinesConcept, incommensurability of theories]
  • A. refinedConcept chosen
    Indicates that one concept is a more precise, detailed, or specialized version of another concept.
  • B. replacesConcept
    Indicates that one concept takes the place of, or supersedes, another concept in a given context or system.
  • C. hasConcept
    Indicates that an entity includes, embodies, or is associated with a particular concept.
  • D. hasSubConcept
    Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
  • E. introducedConcept
    Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f11f648190b20892cca6f617b1 completed March 20, 2026, 2:21 p.m.
PD Predicate disambiguation batch_69bd5220e40481908ca2d7e2c43d8531 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:05 p.m.