Triple

T29762835

Position	Surface form	Disambiguated ID	Type / Status
Subject	Thyrnau	`E753820`	entity
Predicate	abbeyFoundedAs	`P49941`	FINISHED
Object	Cistercian nunnery at Thyrnau Abbey The Cistercian nunnery at Thyrnau Abbey is a Roman Catholic monastic community of Cistercian nuns located in Thyrnau, Bavaria, known for its contemplative life of prayer and work.	`E1883204`	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: Cistercian nunnery at Thyrnau Abbey | Statement: [Thyrnau, abbeyFoundedAs, Cistercian nunnery at Thyrnau Abbey]

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: Cistercian nunnery at Thyrnau Abbey
Triple: [Thyrnau, abbeyFoundedAs, Cistercian nunnery at Thyrnau Abbey]

Generated description

The Cistercian nunnery at Thyrnau Abbey is a Roman Catholic monastic community of Cistercian nuns located in Thyrnau, Bavaria, known for its contemplative life of prayer and work.

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

Target predicate: abbeyFoundedAs
Context triple: [Thyrnau, abbeyFoundedAs, Cistercian nunnery at Thyrnau Abbey]

A. abbeyFoundedInYearApprox
Indicates that an abbey was founded around an approximate year, rather than on a precisely known date.
B. abbeyOriginCentury
Indicates the century in which an abbey was originally founded or established.
C. abbeyDenomination chosen
Indicates the religious denomination or order with which an abbey is affiliated.
D. abbeyLocation
Indicates the geographical place where an abbey is situated or located.
E. abbeyDissolvedDuring
Indicates that an abbey ceased to exist or was formally disbanded during a specified time period or event.
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_69f0ef827ff88190ade56e0b0846b713`	completed	April 28, 2026, 5:33 p.m.
NER	Named-entity recognition	`batch_69f673d112e881908068c066e832ebe3`	completed	May 2, 2026, 9:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a26c8efb3588190981434234d497d54`	completed	June 8, 2026, 1:51 p.m.
NEDg	Description generation	`batch_6a26cd688ecc8190ab26a3a5fff31128`	completed	June 8, 2026, 2:10 p.m.
NED2	Entity disambiguation (via description)	`batch_6a26cfe56d008190b58bbaefe66b311d`	completed	June 8, 2026, 2:21 p.m.
PD	Predicate disambiguation	`batch_69f66ac1a4fc81909740d2e52fbe6970`	completed	May 2, 2026, 9:21 p.m.

Created at: April 28, 2026, 8:35 p.m.