Triple

T25228438
Position Surface form Disambiguated ID Type / Status
Subject Zonhoven E632155 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Saint John the Baptist Church
Saint John the Baptist Church is a prominent Christian parish church in Zonhoven, Belgium, dedicated to Saint John the Baptist and serving as a central place of worship for the local community.
E1723622 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 John the Baptist Church | Statement: [Zonhoven, hasReligiousBuilding, Saint John the Baptist Church]
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 John the Baptist Church
Triple: [Zonhoven, hasReligiousBuilding, Saint John the Baptist Church]
Generated description
Saint John the Baptist Church is a prominent Christian parish church in Zonhoven, Belgium, dedicated to Saint John the Baptist and serving as a central place of worship for the local community.

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_69e75a8e0f688190a7aebe9a4815e25b completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47cc52f3c8190a2a17ba58e5ca43f completed May 1, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae87bd7c8190b3321933f0895613 completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af6832f08190ab2673c8502f0526 completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b0097edc81909327051db358c7b1 completed May 23, 2026, 1:47 p.m.
Created at: April 21, 2026, 1:04 p.m.