Triple

T30696983
Position Surface form Disambiguated ID Type / Status
Subject Ústí nad Orlicí E781497 entity
Predicate hasLandmark P105 FINISHED
Object Church of the Assumption of the Virgin Mary
The Church of the Assumption of the Virgin Mary is a prominent historic Roman Catholic church and architectural landmark in the Czech town of Ústí nad Orlicí.
E1927733 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: Church of the Assumption of the Virgin Mary | Statement: [Ústí nad Orlicí, hasLandmark, Church of the Assumption of the Virgin Mary]
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: Church of the Assumption of the Virgin Mary
Triple: [Ústí nad Orlicí, hasLandmark, Church of the Assumption of the Virgin Mary]
Generated description
The Church of the Assumption of the Virgin Mary is a prominent historic Roman Catholic church and architectural landmark in the Czech town of Ústí nad Orlicí.

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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68bdc341c81908590731e72a3488c completed May 2, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2898fb5ff0819089dce81e04fb9128 completed June 9, 2026, 10:51 p.m.
NEDg Description generation batch_6a2899a5f87881909200941832511700 completed June 9, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_6a289ad889f8819081a06ba9e3e19f1d completed June 9, 2026, 10:59 p.m.
Created at: April 29, 2026, 8:34 p.m.