Triple

T23631649
Position Surface form Disambiguated ID Type / Status
Subject Berwick, Nova Scotia E583624 entity
Predicate governingBody P46 FINISHED
Object Berwick Town Council
Berwick Town Council is the municipal governing body responsible for local governance, services, and policy decisions in the town of Berwick, Nova Scotia.
E1592832 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: Berwick Town Council | Statement: [Berwick, Nova Scotia, governingBody, Berwick Town 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: Berwick Town Council
Triple: [Berwick, Nova Scotia, governingBody, Berwick Town Council]
Generated description
Berwick Town Council is the municipal governing body responsible for local governance, services, and policy decisions in the town of Berwick, Nova Scotia.

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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e7db1c8190aa11ce84fb84d7ef completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45a0a0cc819091f3b62af43b44d9 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f46b69d288190b3fb6dcea9fb44b5 completed May 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f476e8eb88190a895453552c92b9a completed May 21, 2026, 5:57 p.m.
Created at: April 17, 2026, 6:47 p.m.