Triple

T31042829

Position	Surface form	Disambiguated ID	Type / Status
Subject	Diocese of Worms	`E791041`	entity
Predicate	notableCathedral	`P69110`	FINISHED
Object	Cathedral of St Peter, Worms The Cathedral of St Peter in Worms is a prominent Romanesque imperial cathedral in Germany, renowned as one of the country’s oldest and most historically significant church buildings.	`E1944348`	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: Cathedral of St Peter, Worms | Statement: [Diocese of Worms, notableCathedral, Cathedral of St Peter, Worms]

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: Cathedral of St Peter, Worms
Triple: [Diocese of Worms, notableCathedral, Cathedral of St Peter, Worms]

Generated description

The Cathedral of St Peter in Worms is a prominent Romanesque imperial cathedral in Germany, renowned as one of the country’s oldest and most historically significant church buildings.

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

Target predicate: notableCathedral
Context triple: [Diocese of Worms, notableCathedral, Cathedral of St Peter, Worms]

A. cathedralChurch chosen
Indicates that one church serves as the cathedral (principal church and episcopal seat) of another ecclesiastical jurisdiction or entity.
B. cathedralFeature
Indicates that one entity is a distinctive architectural or structural feature of a cathedral.
C. coCathedral
Indicates that a church shares the status and functions of a cathedral with another cathedral within the same diocese or ecclesiastical jurisdiction.
D. cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
E. coCathedralName
Indicates the name assigned to a church that holds the status of a co-cathedral within a diocese or ecclesiastical jurisdiction.
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_69f224ca2fa881908a3ac5fedf207b90`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_6a037c876524819098545e6037d3107d`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a292b0cc6b481908e17142e16a68a60`	completed	June 10, 2026, 9:14 a.m.
NEDg	Description generation	`batch_6a292c0292c48190b984beebb9754aca`	completed	June 10, 2026, 9:18 a.m.
NED2	Entity disambiguation (via description)	`batch_6a292cc4074c8190ad11b0dde89b515f`	completed	June 10, 2026, 9:22 a.m.
PD	Predicate disambiguation	`batch_6a0379e5174c8190a0bdde7e381b7624`	completed	May 12, 2026, 7:05 p.m.

Created at: April 29, 2026, 8:59 p.m.