Triple

T28586932
Position Surface form Disambiguated ID Type / Status
Subject Suffolk Coastal E723528 entity
Predicate governingBody P46 FINISHED
Object Suffolk Coastal District Council
Suffolk Coastal District Council was the local government authority responsible for providing municipal services and administration in the former Suffolk Coastal district of Suffolk, England.
E1826720 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: Suffolk Coastal District Council | Statement: [Suffolk Coastal, governingBody, Suffolk Coastal District 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: Suffolk Coastal District Council
Triple: [Suffolk Coastal, governingBody, Suffolk Coastal District Council]
Generated description
Suffolk Coastal District Council was the local government authority responsible for providing municipal services and administration in the former Suffolk Coastal district of Suffolk, England.

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_69f01d7f92e481909847f5f3f3174a89 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f650faaa6481909c631878bda4d1eb completed May 2, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb6f7fc748190ab427816708fea02 completed May 31, 2026, 10:32 p.m.
NEDg Description generation batch_6a1cbb4810f481908b09f010c8eb945d completed May 31, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a1cbbc4e5e08190b8ec1ce3176896ed completed May 31, 2026, 10:52 p.m.
Created at: April 28, 2026, 4:18 a.m.