Triple

T25725952

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kohn–Sham equations	`E645115`	entity
Predicate	usesPotential	`P158240`	FINISHED
Object	Kohn–Sham effective potential The Kohn–Sham effective potential is the single-particle potential in density functional theory that incorporates external, Hartree, and exchange-correlation effects to reproduce the exact ground-state electron density.	`E645115`	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: Kohn–Sham effective potential | Statement: [Kohn–Sham equations, usesPotential, Kohn–Sham effective potential]

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: Kohn–Sham effective potential
Triple: [Kohn–Sham equations, usesPotential, Kohn–Sham effective potential]

Generated description

The Kohn–Sham effective potential is the single-particle potential in density functional theory that incorporates external, Hartree, and exchange-correlation effects to reproduce the exact ground-state electron density.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: usesPotential
Context triple: [Kohn–Sham equations, usesPotential, Kohn–Sham effective potential]

A. potentialUse chosen
Indicates that one entity could be used for, or is suitable for, a particular function, purpose, or application involving another entity.
B. hasPotential
Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
C. exportPotential
Indicates the extent to which something is suitable or likely to be successfully exported to other markets or locations.
D. likelyUse
Indicates that one entity is expected or probable to use, employ, or make use of another entity in a given context.
E. possiblyBy
Indicates that an action, creation, or effect may have been caused or produced by a particular entity, but this attribution is uncertain or not definitively established.
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_69e77e85254081908d79ee4e8715f283`	completed	April 21, 2026, 1:41 p.m.
NER	Named-entity recognition	`batch_69f603bb02288190b40cedbed5b9651d`	completed	May 2, 2026, 2:01 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10cbfb68988190b92e0f82d471bf2d`	completed	May 22, 2026, 9:34 p.m.
NEDg	Description generation	`batch_6a10ccedad64819080986fe4cae5a969`	completed	May 22, 2026, 9:38 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10ce00cda08190a1534b9ce1cf896a`	completed	May 22, 2026, 9:43 p.m.
PD	Predicate disambiguation	`batch_69f602d07590819085ac34b189613104`	completed	May 2, 2026, 1:57 p.m.

Created at: April 21, 2026, 11:04 p.m.