Triple

T24844249

Position	Surface form	Disambiguated ID	Type / Status
Subject	Viscount Frendraught	`E621700`	entity
Predicate	historicalTerritorialAssociation	`P24920`	FINISHED
Object	Frendraught Frendraught is a historic Scottish estate and former barony in Aberdeenshire, known for its noble associations and the 17th-century Frendraught Castle.	`E1653165`	NE FINISHED

How this triple was built (3 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: Frendraught | Statement: [Viscount Frendraught, historicalTerritorialAssociation, Frendraught]

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: Frendraught
Triple: [Viscount Frendraught, historicalTerritorialAssociation, Frendraught]

Generated description

Frendraught is a historic Scottish estate and former barony in Aberdeenshire, known for its noble associations and the 17th-century Frendraught Castle.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: historicalTerritorialAssociation
Context triple: [Viscount Frendraught, historicalTerritorialAssociation, Frendraught]

A. historicalRegionAssociation
Indicates an association where an entity is or was located in, part of, or otherwise related to a specific historical region.
B. historicalTerritoryType
Indicates that a territory is classified according to a specific type or category it held during a historical period.
C. hasHistoricTerritory chosen
Indicates that an entity possesses or claims a territory that it historically occupied, controlled, or was associated with in the past.
D. historicallyAssociatedWithModernCountry
Indicates that an entity has a significant historical connection, influence, or origin related to a specified modern country.
E. historicalRegionOfInfluence
Indicates that one entity was historically within the geographic, political, or cultural sphere of influence of another entity.
F. None of above.

Provenance (6 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_69e2fac185d48190a0a6073ad1f6b792`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f6562fd3488190be1acd8c526a28d2`	completed	May 2, 2026, 7:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a101c4efffc81908c44d02aa21f5a11`	completed	May 22, 2026, 9:05 a.m.
NEDg	Description generation	`batch_6a1024aba7c88190a2d72c92bf9e5723`	completed	May 22, 2026, 9:40 a.m.
NED2	Entity disambiguation (via description)	`batch_6a102561fda081908fc03becd4d997ac`	completed	May 22, 2026, 9:44 a.m.
PD	Predicate disambiguation	`batch_69f651a731508190bb0c8c2462eba224`	completed	May 2, 2026, 7:33 p.m.

Created at: April 18, 2026, 5:19 a.m.