Triple

T25155924

Position	Surface form	Disambiguated ID	Type / Status
Subject	Heiligenkreuz Abbey	`E626311`	entity
Predicate	hasMusicSchool	`P55412`	FINISHED
Object	Schola Gregoriana Heiligenkreuz Schola Gregoriana Heiligenkreuz is a monastic Gregorian chant ensemble and music school associated with the Cistercian monks of Heiligenkreuz Abbey in Austria, known for preserving and performing traditional liturgical chant.	`E626311`	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: Schola Gregoriana Heiligenkreuz | Statement: [Heiligenkreuz Abbey, hasMusicSchool, Schola Gregoriana Heiligenkreuz]

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: Schola Gregoriana Heiligenkreuz
Triple: [Heiligenkreuz Abbey, hasMusicSchool, Schola Gregoriana Heiligenkreuz]

Generated description

Schola Gregoriana Heiligenkreuz is a monastic Gregorian chant ensemble and music school associated with the Cistercian monks of Heiligenkreuz Abbey in Austria, known for preserving and performing traditional liturgical chant.

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

Target predicate: hasMusicSchool
Context triple: [Heiligenkreuz Abbey, hasMusicSchool, Schola Gregoriana Heiligenkreuz]

A. hasMusicInstitution chosen
Indicates that an entity is associated with or hosts a music-related institution, such as a conservatory, music school, or similar organization.
B. hasMusicFacility
Indicates that an entity provides or includes a dedicated facility or resources for music-related activities.
C. hasArtisticSchool
Indicates that an entity is associated with, belongs to, or is characterized by a particular artistic school or style.
D. hasConservatoryType
Indicates the specific type or classification of a conservatory associated with an entity.
E. hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
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_69e2ff2834ec8190b0872e2ec3d76023`	completed	April 18, 2026, 3:48 a.m.
NER	Named-entity recognition	`batch_69f62d89b89c8190afb372a8172111e7`	completed	May 2, 2026, 4:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a105d0c53848190b301282992d20058`	completed	May 22, 2026, 1:41 p.m.
NEDg	Description generation	`batch_6a105e80c23481909a2a57a43a7d1cd6`	completed	May 22, 2026, 1:47 p.m.
NED2	Entity disambiguation (via description)	`batch_6a106013a3648190abba546af5f29cd5`	completed	May 22, 2026, 1:54 p.m.
PD	Predicate disambiguation	`batch_69f62c1379f08190836c3e02b0c892df`	completed	May 2, 2026, 4:53 p.m.

Created at: April 18, 2026, 6:30 a.m.