Triple

T33470376

Position	Surface form	Disambiguated ID	Type / Status
Subject	Těšín Theatre	`E857170`	entity
Predicate	hasChildrenStage	`P196556`	FINISHED
Object	Scéna Bajka Scéna Bajka is a children's stage of the Těšín Theatre, focusing on performances for young audiences.	`E2053979`	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: Scéna Bajka | Statement: [Těšín Theatre, hasChildrenStage, Scéna Bajka]

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: Scéna Bajka
Triple: [Těšín Theatre, hasChildrenStage, Scéna Bajka]

Generated description

Scéna Bajka is a children's stage of the Těšín Theatre, focusing on performances for young audiences.

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

Target predicate: hasChildrenStage
Context triple: [Těšín Theatre, hasChildrenStage, Scéna Bajka]

A. hasDescendantStage
Indicates that one stage in a process, lifecycle, or development sequence leads to or gives rise to another, later stage that is considered its descendant.
B. hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
C. hasStepchildren
Indicates that one person has stepchildren, meaning children of their spouse or partner from a previous relationship.
D. hasChildrenArea
Indicates that an entity includes or is associated with a designated area intended for children.
E. has child
Indicates that one entity is the parent of another entity, which is its child.
F. None of above. chosen

Provenance (7 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_69f34973461481909c701c98ebd75623`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69fe5c1a502081909d4024e514309c8e`	completed	May 8, 2026, 9:56 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3595aa39f881908f959fdd19e2d396`	completed	June 19, 2026, 7:16 p.m.
NEDg	Description generation	`batch_6a359b7962748190910310e7c02f78d6`	completed	June 19, 2026, 7:41 p.m.
NED2	Entity disambiguation (via description)	`batch_6a359be01cdc8190a34aa089c4defb06`	completed	June 19, 2026, 7:43 p.m.
PD	Predicate disambiguation	`batch_69fe5a9df21c819087153f5d0bcaa987`	completed	May 8, 2026, 9:50 p.m.
PDg	Predicate description generation	`batch_69fe5c196f4081908f150d4cd6c528fa`	completed	May 8, 2026, 9:56 p.m.

Created at: May 1, 2026, 1:37 a.m.