Triple

T30208222
Position Surface form Disambiguated ID Type / Status
Subject Leith family E767995 entity
Predicate associatedWith P37 FINISHED
Object Aberdeenshire landed estates
Aberdeenshire landed estates are historic rural properties and manorial holdings in Aberdeenshire, Scotland, traditionally owned and managed by prominent local families.
E1903344 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: Aberdeenshire landed estates | Statement: [Leith family, associatedWith, Aberdeenshire landed estates]
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: Aberdeenshire landed estates
Triple: [Leith family, associatedWith, Aberdeenshire landed estates]
Generated description
Aberdeenshire landed estates are historic rural properties and manorial holdings in Aberdeenshire, Scotland, traditionally owned and managed by prominent local families.

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_69f2247eb0848190b4032f302d39c0d9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67fca43448190b108c8c1b998738f completed May 2, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2758a90ec88190848bb2ed84476a2e completed June 9, 2026, 12:04 a.m.
NEDg Description generation batch_6a275a8244788190837ad72957f937db completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b94cf908190a828d9b24d444b01 completed June 9, 2026, 12:17 a.m.
Created at: April 29, 2026, 7:32 p.m.