Triple

T26044838
Position Surface form Disambiguated ID Type / Status
Subject Scottish royal residences network E647794 entity
Predicate hasPart P35 FINISHED
Object Royal Apartments, Castle Fraser
The Royal Apartments at Castle Fraser are historically significant state rooms within the Aberdeenshire castle, once used to accommodate visiting royalty and distinguished guests.
E1708280 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 Apartments, Castle Fraser | Statement: [Scottish royal residences network, hasPart, Royal Apartments, Castle Fraser]
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 Apartments, Castle Fraser
Triple: [Scottish royal residences network, hasPart, Royal Apartments, Castle Fraser]
Generated description
The Royal Apartments at Castle Fraser are historically significant state rooms within the Aberdeenshire castle, once used to accommodate visiting royalty and distinguished guests.

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_69e77e8c88f08190858c4c81bd2e1b9a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f606597b48819084ffefda1f2dfc8f completed May 2, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b1babf88190a8f575c7dca63380 completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111c0a65f881908a29d01412627de9 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111ca03b088190937f673d972fdca2 completed May 23, 2026, 3:18 a.m.
Created at: April 22, 2026, 9:09 a.m.