Triple

T36256835
Position Surface form Disambiguated ID Type / Status
Subject Ober Sankt Veit E891961 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Pfarrkirche Ober St. Veit
Pfarrkirche Ober St. Veit is a historic Roman Catholic parish church in Vienna’s Ober St. Veit district, known for its traditional architecture and role as the local spiritual center.
E2176209 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: Pfarrkirche Ober St. Veit | Statement: [Ober Sankt Veit, hasReligiousBuilding, Pfarrkirche Ober St. Veit]
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: Pfarrkirche Ober St. Veit
Triple: [Ober Sankt Veit, hasReligiousBuilding, Pfarrkirche Ober St. Veit]
Generated description
Pfarrkirche Ober St. Veit is a historic Roman Catholic parish church in Vienna’s Ober St. Veit district, known for its traditional architecture and role as the local spiritual center.

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_69f76e4599108190811532e707d6bc2c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b5fdfd088190a4f1290b9b7cd387 completed May 3, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a396e06c19081909434ccbb106bdd5d completed June 22, 2026, 5:16 p.m.
NEDg Description generation batch_6a396f2486448190a257c95156f40ef7 completed June 22, 2026, 5:21 p.m.
NED2 Entity disambiguation (via description) batch_6a396f9eec788190a90ba0850106036f completed June 22, 2026, 5:23 p.m.
Created at: May 3, 2026, 4:09 p.m.