Triple

T2630576
Position Surface form Disambiguated ID Type / Status
Subject Migdal approximation E59621 entity
Predicate validityDependsOn P19751 FINISHED
Object adiabatic approximation 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: adiabatic approximation | Statement: [Migdal approximation, validityDependsOn, adiabatic approximation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: validityDependsOn
Context triple: [Migdal approximation, validityDependsOn, adiabatic approximation]
  • A. validityType
    Indicates the specific kind or category of validity that characterizes how or under what conditions something is considered valid.
  • B. hasValidity
    Indicates that something possesses a period or condition during which it is considered legally, logically, or functionally acceptable or in force.
  • C. durationDependsOn
    Indicates that the length of time of one event or state is determined or influenced by another event, condition, or factor.
  • D. contingentOn chosen
    Indicates that the occurrence, validity, or outcome of one event or condition depends on the fulfillment or existence of another.
  • E. validIn
    Indicates that a given entity, statement, or condition is applicable, correct, or legally/semantically acceptable within a specified context, scope, or domain.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
PD Predicate disambiguation batch_69abd810d7f481908e81c305772c4c14 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.