Triple

T26084120
Position Surface form Disambiguated ID Type / Status
Subject Deputy Lieutenant of South Yorkshire E657930 entity
Predicate partOf P40 FINISHED
Object Lieutenancy of South Yorkshire
The Lieutenancy of South Yorkshire is the ceremonial county office in South Yorkshire responsible for representing the British monarch locally through the Lord-Lieutenant and their deputies.
E169657 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: Lieutenancy of South Yorkshire | Statement: [Deputy Lieutenant of South Yorkshire, partOf, Lieutenancy of South Yorkshire]
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: Lieutenancy of South Yorkshire
Triple: [Deputy Lieutenant of South Yorkshire, partOf, Lieutenancy of South Yorkshire]
Generated description
The Lieutenancy of South Yorkshire is the ceremonial county office in South Yorkshire responsible for representing the British monarch locally through the Lord-Lieutenant and their deputies.

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_69ee5bbf0d208190801ee95d4f07fb16 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f606fd78188190a73f149ce8e176a1 completed May 2, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b37f69c819092524111bc98ed22 completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111bee5614819084e7eb1f224360bf completed May 23, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_6a111d3dd98c81908f0f3850008abce2 completed May 23, 2026, 3:21 a.m.
Created at: April 26, 2026, 7:41 p.m.