Triple

T29694130
Position Surface form Disambiguated ID Type / Status
Subject Type I string theory E751295 entity
Predicate hasMasslessOpenStringSector P199929 FINISHED
Object yes 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: yes | Statement: [Type I string theory, hasMasslessOpenStringSector, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMasslessOpenStringSector
Context triple: [Type I string theory, hasMasslessOpenStringSector, yes]
  • A. hasMasslessClosedStringSector
    Indicates that a physical or theoretical model includes a sector of closed strings whose excitations are massless.
  • B. hasMassTerm
    Indicates that one entity is classified as a mass (uncountable) term associated with another entity.
  • C. isNonSupersymmetric
    Indicates that the entity does not exhibit or obey supersymmetry, i.e., it lacks a symmetry relating bosons and fermions.
  • D. hasSupersymmetry
    Indicates that a physical system, theory, or model exhibits supersymmetry, meaning there is a symmetry relating bosonic and fermionic degrees of freedom.
  • E. hasRestMassUpperBound
    Indicates that there is a specified maximum possible value for the rest mass of an entity.
  • 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_69f0d625b09481909b0b69aea1e846c8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff64b957bc81908afbc5914234a8ea completed May 9, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69ff6446593c81909173e296eea2590c completed May 9, 2026, 4:43 p.m.
PDg Predicate description generation batch_69ff64b864f481909fcefc2b08595c89 completed May 9, 2026, 4:45 p.m.
Created at: April 28, 2026, 7:19 p.m.