Triple

T35678720
Position Surface form Disambiguated ID Type / Status
Subject Sutton E1030938 entity
Predicate governingBody P46 FINISHED
Object St Helens Metropolitan Borough Council
St Helens Metropolitan Borough Council is the local authority responsible for providing municipal services and governance for the Metropolitan Borough of St Helens in Merseyside, England.
E316309 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: St Helens Metropolitan Borough Council | Statement: [Sutton, governingBody, St Helens Metropolitan Borough 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: St Helens Metropolitan Borough Council
Triple: [Sutton, governingBody, St Helens Metropolitan Borough Council]
Generated description
St Helens Metropolitan Borough Council is the local authority responsible for providing municipal services and governance for the Metropolitan Borough of St Helens in Merseyside, 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_69f76e0bb6608190ad3a1880be54a17d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79fe797d8819093cbda1a02d59dc2 completed May 3, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38bfbe46e48190b633534afcffa296 completed June 22, 2026, 4:53 a.m.
NEDg Description generation batch_6a38c24c230c81909f01f91aefcf46a4 completed June 22, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a38c2a42c4c8190a84a0beee4e5cf45 completed June 22, 2026, 5:05 a.m.
Created at: May 3, 2026, 4:05 p.m.