Triple

T35290251
Position Surface form Disambiguated ID Type / Status
Subject Waverveen E1019200 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Protestant church of Waverveen
The Protestant church of Waverveen is a historic Christian church serving as the main Protestant place of worship in the village of Waverveen in the Netherlands.
E2134710 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: Protestant church of Waverveen | Statement: [Waverveen, hasReligiousBuilding, Protestant church of Waverveen]
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: Protestant church of Waverveen
Triple: [Waverveen, hasReligiousBuilding, Protestant church of Waverveen]
Generated description
The Protestant church of Waverveen is a historic Christian church serving as the main Protestant place of worship in the village of Waverveen in the Netherlands.

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_69f76de7eedc8190a3bdc64ebbc05b42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79012e2e481908c587ff189b3deb3 completed May 3, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3819df117481908ccbd686ca6f243e completed June 21, 2026, 5:05 p.m.
NEDg Description generation batch_6a381ad38af88190a5a799b1651b8840 completed June 21, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a381b7b8e948190850dffedadad0a9f completed June 21, 2026, 5:12 p.m.
Created at: May 3, 2026, 4:03 p.m.