Triple

T24972008

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lord Lieutenant of Antrim	`E624915`	entity
Predicate	partOf	`P40`	FINISHED
Object	Lieutenancy areas of Northern Ireland The Lieutenancy areas of Northern Ireland are ceremonial subdivisions of the region, each represented by a Lord Lieutenant as the British monarch’s personal representative.	`E1303210`	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 areas of Northern Ireland | Statement: [Lord Lieutenant of Antrim, partOf, Lieutenancy areas of Northern Ireland]

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 areas of Northern Ireland
Triple: [Lord Lieutenant of Antrim, partOf, Lieutenancy areas of Northern Ireland]

Generated description

The Lieutenancy areas of Northern Ireland are ceremonial subdivisions of the region, each represented by a Lord Lieutenant as the British monarch’s personal representative.

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_69e2ff24512481908e9a72315b8d0354`	completed	April 18, 2026, 3:48 a.m.
NER	Named-entity recognition	`batch_69f444dd49648190a10956a729a40eec`	completed	May 1, 2026, 6:14 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1048a55b5081909691590148f8154f`	completed	May 22, 2026, 12:14 p.m.
NEDg	Description generation	`batch_6a10498ee91081909f400a590f3646a7`	completed	May 22, 2026, 12:18 p.m.
NED2	Entity disambiguation (via description)	`batch_6a104a868810819098fc6286e7599ea0`	completed	May 22, 2026, 12:22 p.m.

Created at: April 18, 2026, 6:01 a.m.