Triple

T27534506
Position Surface form Disambiguated ID Type / Status
Subject High Sheriff of Tyne and Wear E695060 entity
Predicate associatedWith P37 FINISHED
Object Tyne and Wear Fire and Rescue Service
Tyne and Wear Fire and Rescue Service is the statutory emergency service responsible for fire protection, prevention, and rescue operations across the metropolitan county of Tyne and Wear in North East England.
E1776830 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: Tyne and Wear Fire and Rescue Service | Statement: [High Sheriff of Tyne and Wear, associatedWith, Tyne and Wear Fire and Rescue Service]
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: Tyne and Wear Fire and Rescue Service
Triple: [High Sheriff of Tyne and Wear, associatedWith, Tyne and Wear Fire and Rescue Service]
Generated description
Tyne and Wear Fire and Rescue Service is the statutory emergency service responsible for fire protection, prevention, and rescue operations across the metropolitan county of Tyne and Wear in North East 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_69ef538608b081908b9f659bb09d5e0f completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62f5996508190894a769a5199945d completed May 2, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5ba9e648190a2745586d4c41c91 completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c6596d788190bc4d6ed7f0b6c378 completed May 24, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6e8932c8190877f8f62c54526f7 completed May 24, 2026, 9:37 a.m.
Created at: April 27, 2026, 1:28 p.m.