Triple

T33427817

Position	Surface form	Disambiguated ID	Type / Status
Subject	Legendia Silesian Amusement Park	`E856036`	entity
Predicate	hasFamilyAttraction	`P114950`	FINISHED
Object	Bazyliszek Bazyliszek is a themed dark ride attraction at Legendia Silesian Amusement Park, inspired by Slavic mythology and featuring interactive monster-hunting adventures.	`E2051669`	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: Bazyliszek | Statement: [Legendia Silesian Amusement Park, hasFamilyAttraction, Bazyliszek]

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: Bazyliszek
Triple: [Legendia Silesian Amusement Park, hasFamilyAttraction, Bazyliszek]

Generated description

Bazyliszek is a themed dark ride attraction at Legendia Silesian Amusement Park, inspired by Slavic mythology and featuring interactive monster-hunting adventures.

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

Target predicate: hasFamilyAttraction
Context triple: [Legendia Silesian Amusement Park, hasFamilyAttraction, Bazyliszek]

A. hasFamilyRide chosen
Indicates that an entity offers or is associated with a ride or attraction designed to be suitable and enjoyable for families.
B. hasAttractionBasedOn
Indicates that one entity feels an attraction toward another entity that is specifically grounded in a particular basis, criterion, or set of characteristics.
C. hasAttractionType
Indicates that one entity is associated with a specific kind or category of attraction (e.g., tourist, cultural, natural).
D. isAttractionFor
Indicates that one entity serves as an attraction or point of interest specifically intended for another entity (such as a person, group, or audience).
E. containsAttraction
Indicates that one entity includes or encompasses an attraction (such as a point of interest, feature, or draw) within its bounds or scope.
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_69f349709e7881908c342b4d34f555f4`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69fd5bf69acc819092a01e4259785dc3`	completed	May 8, 2026, 3:43 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a358153e6808190982a021ebb881722`	completed	June 19, 2026, 5:50 p.m.
NEDg	Description generation	`batch_6a3582828d68819090dd5550a9a52db4`	completed	June 19, 2026, 5:55 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3582f3203081909181daf41c575a0f`	completed	June 19, 2026, 5:57 p.m.
PD	Predicate disambiguation	`batch_69fd59b3f4ac8190a7f9dd3142da6e09`	completed	May 8, 2026, 3:34 a.m.

Created at: May 1, 2026, 1:36 a.m.