Triple

T23724580
Position Surface form Disambiguated ID Type / Status
Subject Opwijk E586234 entity
Predicate hasMunicipalCouncil P3379 FINISHED
Object Opwijk municipal council
The Opwijk municipal council is the local elected governing body responsible for setting policies, budgets, and regulations for the municipality of Opwijk in Belgium.
E1601648 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: Opwijk municipal council | Statement: [Opwijk, hasMunicipalCouncil, Opwijk municipal council]
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: Opwijk municipal council
Triple: [Opwijk, hasMunicipalCouncil, Opwijk municipal council]
Generated description
The Opwijk municipal council is the local elected governing body responsible for setting policies, budgets, and regulations for the municipality of Opwijk in Belgium.

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_69e24906fb108190a6898751e46bdc11 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b91364208190b3404534a7403e08 completed April 29, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53c16cd081908f9458645f5c0db0 completed May 21, 2026, 6:49 p.m.
NEDg Description generation batch_6a0f57af9e4881909ba1a7dddf12e179 completed May 21, 2026, 7:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0f588a0d308190b66fda397e413f44 completed May 21, 2026, 7:10 p.m.
Created at: April 17, 2026, 7:07 p.m.