Triple

T30971347
Position Surface form Disambiguated ID Type / Status
Subject Gundelfingen an der Donau E789105 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Catholic parish church of St. Martin
The Catholic parish church of St. Martin is a central Roman Catholic church and local landmark serving the parish community in Gundelfingen an der Donau, Germany.
E1940811 NE FINISHED

How this triple was built (2 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: Catholic parish church of St. Martin | Statement: [Gundelfingen an der Donau, hasReligiousBuilding, Catholic parish church of St. Martin]
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: Catholic parish church of St. Martin
Triple: [Gundelfingen an der Donau, hasReligiousBuilding, Catholic parish church of St. Martin]
Generated description
The Catholic parish church of St. Martin is a central Roman Catholic church and local landmark serving the parish community in Gundelfingen an der Donau, Germany.

Provenance (5 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_69f224c3a6b48190951add9b7b7f0271 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69389b0cc819097c87425e087a5ba completed May 3, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fbba1cb0819092a888ff69189861 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28ff96043881909e9b7be855a5300b completed June 10, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_6a2900375bc8819082ba6533429fc33c completed June 10, 2026, 6:12 a.m.
Created at: April 29, 2026, 8:54 p.m.