Triple

T24822875
Position Surface form Disambiguated ID Type / Status
Subject gauge theory E621105 entity
Predicate gaugeFixingMethod P39342 FINISHED
Object Feynman gauge
Feynman gauge is a particular choice of gauge in quantum field theory that simplifies calculations by giving propagators a especially symmetric and convenient form.
 E1654148 NE FINISHED

How this triple was built (3 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: Feynman gauge | Statement: [gauge theory, gaugeFixingMethod, Feynman gauge]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Feynman gauge
Triple: [gauge theory, gaugeFixingMethod, Feynman gauge]
Generated description
Feynman gauge is a particular choice of gauge in quantum field theory that simplifies calculations by giving propagators a especially symmetric and convenient form.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: gaugeFixingMethod
Context triple: [gauge theory, gaugeFixingMethod, Feynman gauge]
  • A. gaugeInvarianceRequires
    Indicates that maintaining gauge invariance necessitates or imposes a specific condition, structure, or constraint on another quantity or element in the theory.
  • B. gaugeCoupling
    Indicates the strength of interaction between fields or particles as defined by a specific gauge symmetry in a physical theory.
  • C. gaugeTheoryFeature
    Indicates a property, structure, or characteristic that specifically pertains to a gauge theory within a physical or mathematical framework.
  • D. gaugeType chosen
    Indicates the specific kind or category of gauge associated with an entity or measurement.
  • E. gaugeCompatibleWith
    Indicates that one gauge can be properly used with, mounted to, or function correctly in conjunction with another specified component or system.
  • F. None of above.

Provenance (6 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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c42245481908c36d3b775b615ff completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a102814f838819094ed41d653039f72 completed May 22, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_6a10294485508190a91d9ec391181047 completed May 22, 2026, 10 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 5:05 a.m.