Triple

T29694195
Position Surface form Disambiguated ID Type / Status
Subject M5-branes E751297 entity
Predicate worldvolumeBosonicFields P188092 FINISHED
Object 5 scalar fields 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: 5 scalar fields | Statement: [M5-branes, worldvolumeBosonicFields, 5 scalar fields]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worldvolumeBosonicFields
Context triple: [M5-branes, worldvolumeBosonicFields, 5 scalar fields]
  • A. hasBosonicWorldvolumeFields chosen
    Indicates that the subject possesses or is associated with bosonic fields defined on its worldvolume.
  • B. hasWorldvolumeTheory
    Indicates that one entity (typically a brane or extended object) is associated with a specific physical or field theory that governs its dynamics on its own worldvolume.
  • C. worldvolumeDimension
    Indicates the number of dimensions of the extended space (worldvolume) in which an object or brane exists or evolves.
  • D. stackWorldvolumeTheory
    Indicates a relationship where one worldvolume theory is formed by stacking or combining multiple constituent worldvolume theories.
  • E. containsNonAbelianGaugeBosons
    Indicates that the entity includes gauge bosons associated with a non-Abelian (non-commutative) gauge symmetry group.
  • 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_69f0d625b09481909b0b69aea1e846c8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fd19f791f48190bbb6f6047f9ddc59 completed May 7, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fd0df365948190bc9bfc7ffd46acd8 completed May 7, 2026, 10:10 p.m.
Created at: April 28, 2026, 7:19 p.m.