Triple

T26044738
Position Surface form Disambiguated ID Type / Status
Subject Scottish royal residences network E647794 entity
Predicate hasPart P35 FINISHED
Object Balvenie Castle
Balvenie Castle is a historic medieval fortress in Speyside, Scotland, known for its association with the powerful Comyn and Douglas families and its later use as a noble residence.
E1723518 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: Balvenie Castle | Statement: [Scottish royal residences network, hasPart, Balvenie Castle]
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: Balvenie Castle
Triple: [Scottish royal residences network, hasPart, Balvenie Castle]
Generated description
Balvenie Castle is a historic medieval fortress in Speyside, Scotland, known for its association with the powerful Comyn and Douglas families and its later use as a noble residence.

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_6a11ae95964881908c5ab6f3a95f528a completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af355d588190a5f72f8c7d6e8db8 completed May 23, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a11afa0df548190a099d227f233ee94 completed May 23, 2026, 1:46 p.m.
Created at: April 22, 2026, 9:09 a.m.