Triple

T34540336

Position	Surface form	Disambiguated ID	Type / Status
Subject	Python 3.11	`E886788`	entity
Predicate	pepImplemented	`P159704`	FINISHED
Object	PEP 654 PEP 654 is the Python Enhancement Proposal that introduced exception groups and the `except*` syntax to better handle multiple concurrent exceptions, particularly in asynchronous code.	`E2100810`	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: PEP 654 | Statement: [Python 3.11, pepImplemented, PEP 654]

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: PEP 654
Triple: [Python 3.11, pepImplemented, PEP 654]

Generated description

PEP 654 is the Python Enhancement Proposal that introduced exception groups and the `except*` syntax to better handle multiple concurrent exceptions, particularly in asynchronous code.

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

Target predicate: pepImplemented
Context triple: [Python 3.11, pepImplemented, PEP 654]

A. implementedFor
Indicates that one entity has been created, developed, or configured to operate on behalf of, or to fulfill the needs or requirements of, another entity.
B. aimedToImplement
Indicates that an entity had the intention or plan to carry out, realize, or put another entity (such as a policy, idea, or system) into effect.
C. areImplementedBy
Indicates that one entity serves as the concrete realization or execution of the specification, design, or interface defined by another entity.
D. establishedToImplement
Indicates that something (such as an organization, system, or structure) was created or set up for the purpose of carrying out or realizing a particular plan, policy, function, or objective.
E. currentlyImplementedBy chosen
Indicates that a given specification, design, or feature is presently realized or supported by a particular implementation 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_69f349ce5eb881909e431c670944aa68`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f71ff3ae60819089447abe3ff9e784`	completed	May 3, 2026, 10:14 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3729f1a9648190867def5d7e3d970b`	completed	June 21, 2026, 12:01 a.m.
NEDg	Description generation	`batch_6a372a79cd588190a26e3ed4d9d36787`	completed	June 21, 2026, 12:04 a.m.
NED2	Entity disambiguation (via description)	`batch_6a372b0a68648190b17d8b4b171473cf`	completed	June 21, 2026, 12:06 a.m.
PD	Predicate disambiguation	`batch_69f71cc8074c81909ae09bea2acf1a09`	completed	May 3, 2026, 10 a.m.

Created at: May 1, 2026, 2:02 a.m.