Triple

T28621976
Position Surface form Disambiguated ID Type / Status
Subject Polyakov action in string theory E724407 entity
Predicate isMoreConvenientThan P100404 FINISHED
Object Nambu–Goto action for quantization 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: Nambu–Goto action for quantization | Statement: [Polyakov action in string theory, isMoreConvenientThan, Nambu–Goto action for quantization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMoreConvenientThan
Context triple: [Polyakov action in string theory, isMoreConvenientThan, Nambu–Goto action for quantization]
  • A. isMoreEfficientThan
    Indicates that one entity performs a task or uses resources in a way that achieves the same or better outcome with less time, effort, or cost than another entity.
  • B. isEasierThan chosen
    Indicates that one entity requires less effort, difficulty, or complexity to accomplish, understand, or deal with than another entity.
  • C. moreEfficientThan
    Indicates that one entity performs a task or uses resources with greater efficiency than another entity.
  • D. isMoreFrequentlyUsedThan
    Indicates that one entity is used or occurs with greater frequency than another entity.
  • E. isLessEfficientThan
    Indicates that one entity performs a task or uses resources with lower efficiency compared to another entity.
  • 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_69f01d822ac08190932de59ec2268ed2 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f652a492108190b885b955ce147d3c completed May 2, 2026, 7:38 p.m.
PD Predicate disambiguation batch_69f651aad92c8190b874b3b5f9f64434 completed May 2, 2026, 7:34 p.m.
Created at: April 28, 2026, 4:34 a.m.