Triple

T35863832
Position Surface form Disambiguated ID Type / Status
Subject municipal council of Bennebroek E1037026 entity
Predicate followedBy P78 FINISHED
Object municipal council of Bloemendaal
The municipal council of Bloemendaal is the elected governing body responsible for local legislation and administration in the Dutch municipality of Bloemendaal.
E2160033 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: municipal council of Bloemendaal | Statement: [municipal council of Bennebroek, followedBy, municipal council of Bloemendaal]
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: municipal council of Bloemendaal
Triple: [municipal council of Bennebroek, followedBy, municipal council of Bloemendaal]
Generated description
The municipal council of Bloemendaal is the elected governing body responsible for local legislation and administration in the Dutch municipality of Bloemendaal.

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_69f76e1d279c8190843e5b64a0a12c3f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a9786d9081909322cf634e94d6f3 completed May 3, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4e6b3f0819094f57043c295ac91 completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a5618be48190893b3e8202847748 completed June 22, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_6a38a604b0488190a52a2319556ac218 completed June 22, 2026, 3:03 a.m.
Created at: May 3, 2026, 4:06 p.m.