Triple

T29096101
Position Surface form Disambiguated ID Type / Status
Subject Schrödinger equation with point interactions E735006 entity
Predicate usesPotentialType P158240 FINISHED
Object zero-range potential 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: zero-range potential | Statement: [Schrödinger equation with point interactions, usesPotentialType, zero-range potential]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPotentialType
Context triple: [Schrödinger equation with point interactions, usesPotentialType, zero-range potential]
  • A. hasPotential
    Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
  • B. potentialUse chosen
    Indicates that one entity could be used for, or is suitable for, a particular function, purpose, or application involving another entity.
  • C. usedInType
    Indicates that something serves as a component, element, or example within a particular type or category.
  • D. usedWithType
    Indicates that something is typically or appropriately used together with items of a specified type.
  • E. exportPotential
    Indicates the extent to which something is suitable or likely to be successfully exported to other markets or locations.
  • 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_69f05b0ed66481908f2e864fa550d2f1 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
Created at: April 28, 2026, 11:08 a.m.