Triple

T34132103
Position Surface form Disambiguated ID Type / Status
Subject Cathedral of Saint Peter, Saint Paul and Saint Quirin E875452 entity
Predicate namedAfter P63 FINISHED
Object Saint Quirin
Saint Quirin is a Christian saint venerated in various European regions, traditionally regarded as a martyr whose cult inspired the dedication of multiple churches and cathedrals bearing his name.
E2082762 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: Saint Quirin | Statement: [Cathedral of Saint Peter, Saint Paul and Saint Quirin, namedAfter, Saint Quirin]
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: Saint Quirin
Triple: [Cathedral of Saint Peter, Saint Paul and Saint Quirin, namedAfter, Saint Quirin]
Generated description
Saint Quirin is a Christian saint venerated in various European regions, traditionally regarded as a martyr whose cult inspired the dedication of multiple churches and cathedrals bearing his name.

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_69f349aa33848190a2e6c5e4533c8444 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f6e76788190b8a99d10db0469a0 completed May 3, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36b7794f8481908da523cce7f3de9a completed June 20, 2026, 3:53 p.m.
NEDg Description generation batch_6a36b87f1f708190b614fff40848f7df completed June 20, 2026, 3:57 p.m.
NED2 Entity disambiguation (via description) batch_6a36ba04a9dc8190ad40707e53ace732 completed June 20, 2026, 4:04 p.m.
Created at: May 1, 2026, 1:53 a.m.