Triple

T38124278

Position	Surface form	Disambiguated ID	Type / Status
Subject	St. Mariae Himmelfahrt (parish church)	`E952024`	entity
Predicate	hasMainUsage	`P70082`	FINISHED
Object	parish church of Schongau The parish church of Schongau is a prominent Roman Catholic church in the Bavarian town of Schongau, known for its historic architecture and central role in local religious life.	`E2256391`	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: parish church of Schongau | Statement: [St. Mariae Himmelfahrt (parish church), hasMainUsage, parish church of Schongau]

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: parish church of Schongau
Triple: [St. Mariae Himmelfahrt (parish church), hasMainUsage, parish church of Schongau]

Generated description

The parish church of Schongau is a prominent Roman Catholic church in the Bavarian town of Schongau, known for its historic architecture and central role in local religious life.

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

Target predicate: hasMainUsage
Context triple: [St. Mariae Himmelfahrt (parish church), hasMainUsage, parish church of Schongau]

A. hasSecondaryUsage
Indicates that an entity is associated with an additional, non-primary function or purpose beyond its main intended use.
B. hasMainArch
Indicates that an entity possesses or features a primary or central arch structure.
C. hasMainSource
Indicates that one entity serves as the primary or principal source or origin for another entity.
D. hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
E. hasDominantUse chosen
Indicates that one use or function of an entity is primary or prevailing over its other possible uses.
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_69f76f083548819082bd2bbf53c79e8e`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_6a037df1223c8190a5d61e4f8e6fd613`	completed	May 12, 2026, 7:22 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41682370648190aa8c4475e87590a4`	completed	June 28, 2026, 6:29 p.m.
NEDg	Description generation	`batch_6a4168bb69648190a6d588ccf599648e`	completed	June 28, 2026, 6:32 p.m.
NED2	Entity disambiguation (via description)	`batch_6a41694820f8819093ccc0249774cf13`	completed	June 28, 2026, 6:34 p.m.
PD	Predicate disambiguation	`batch_6a037a1ad6c48190bfe35d350c1b4751`	completed	May 12, 2026, 7:06 p.m.

Created at: May 3, 2026, 4:21 p.m.