Triple

T37542250
Position Surface form Disambiguated ID Type / Status
Subject Swarzewo E933359 entity
Predicate hasReligiousSite P916 FINISHED
Object Sanctuary of Our Lady of Swarzewo
The Sanctuary of Our Lady of Swarzewo is a prominent Roman Catholic Marian shrine in northern Poland, known for its venerated statue of the Virgin Mary and as a popular pilgrimage destination.
E2231988 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: Sanctuary of Our Lady of Swarzewo | Statement: [Swarzewo, hasReligiousSite, Sanctuary of Our Lady of Swarzewo]
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: Sanctuary of Our Lady of Swarzewo
Triple: [Swarzewo, hasReligiousSite, Sanctuary of Our Lady of Swarzewo]
Generated description
The Sanctuary of Our Lady of Swarzewo is a prominent Roman Catholic Marian shrine in northern Poland, known for its venerated statue of the Virgin Mary and as a popular pilgrimage destination.

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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba420dac48190848c26e3b360a750 completed May 6, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a409f081d608190a8dd3e3b8393c8a9 completed June 28, 2026, 4:11 a.m.
NEDg Description generation batch_6a409f9eb63c8190866e647770e86bb3 completed June 28, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_6a40a0aa945c81909a9b8ab5b797d45a completed June 28, 2026, 4:18 a.m.
Created at: May 3, 2026, 4:17 p.m.