Triple

T34960442

Position	Surface form	Disambiguated ID	Type / Status
Subject	Michael Sattler	`E1008237`	entity
Predicate	wasPriorOf	`P182138`	FINISHED
Object	St. Peter’s Abbey in the Black Forest St. Peter’s Abbey in the Black Forest is a historic Benedictine monastery in southwestern Germany, known as an important medieval religious and cultural center in the Black Forest region.	`E2118637`	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: St. Peter’s Abbey in the Black Forest | Statement: [Michael Sattler, wasPriorOf, St. Peter’s Abbey in the Black Forest]

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: St. Peter’s Abbey in the Black Forest
Triple: [Michael Sattler, wasPriorOf, St. Peter’s Abbey in the Black Forest]

Generated description

St. Peter’s Abbey in the Black Forest is a historic Benedictine monastery in southwestern Germany, known as an important medieval religious and cultural center in the Black Forest region.

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

Target predicate: wasPriorOf
Context triple: [Michael Sattler, wasPriorOf, St. Peter’s Abbey in the Black Forest]

A. wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
B. heldBefore
Indicates that one entity possessed or maintained control of something at an earlier time than another entity or event.
C. wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
D. releasedBefore
Indicates that one entity was released at an earlier time or date than another entity.
E. hasAntes
Indicates that one entity possesses or is associated with another entity that comes before it in time, order, or sequence.
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_69f76dc69564819099e9e78aed6ff0a6`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f78710282c81909146dc0be91e983f`	completed	May 3, 2026, 5:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37a8d1d7b08190899394500c164e68`	completed	June 21, 2026, 9:03 a.m.
NEDg	Description generation	`batch_6a37a9f0384c81908f981df56bb84816`	completed	June 21, 2026, 9:08 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37aa70361481909038190d43bc3a72`	completed	June 21, 2026, 9:10 a.m.
PD	Predicate disambiguation	`batch_69f784162134819098413482ef52042f`	completed	May 3, 2026, 5:21 p.m.
PDg	Predicate description generation	`batch_69f7870dfe108190996c0c68630edc7f`	completed	May 3, 2026, 5:34 p.m.

Created at: May 3, 2026, 4 p.m.