Triple

T27785889
Position Surface form Disambiguated ID Type / Status
Subject Lord Chamberlain to Queen Caroline E700957 entity
Predicate seatOfOffice P761 FINISHED
Object Royal Court in London
The Royal Court in London was the central ceremonial and administrative household of the British monarch, serving as the primary setting for royal governance, patronage, and courtly life.
E10073 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: Royal Court in London | Statement: [Lord Chamberlain to Queen Caroline, seatOfOffice, Royal Court in London]
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: Royal Court in London
Triple: [Lord Chamberlain to Queen Caroline, seatOfOffice, Royal Court in London]
Generated description
The Royal Court in London was the central ceremonial and administrative household of the British monarch, serving as the primary setting for royal governance, patronage, and courtly life.

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_69ef6a50d8088190acbf3dfbb06d8091 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637d224c0819085f7af916d439d04 completed May 2, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecc87820819087ccedcdc404d30b completed May 24, 2026, 12:19 p.m.
NEDg Description generation batch_6a12ed68ab588190a2247672cc7818d8 completed May 24, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a12ee55079881908070830187dedd6d completed May 24, 2026, 12:25 p.m.
Created at: April 27, 2026, 5:24 p.m.