Triple

T22266141
Position Surface form Disambiguated ID Type / Status
Subject Distillers Company Limited E550354 entity
Predicate ownedDistillery P22812 FINISHED
Object Glenlossie Distillery
Glenlossie Distillery is a Speyside Scotch whisky distillery in Scotland known for its light, grassy single malts, much of which is used in blended whiskies.
E1644184 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: Glenlossie Distillery | Statement: [Distillers Company Limited, ownedDistillery, Glenlossie Distillery]
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: Glenlossie Distillery
Triple: [Distillers Company Limited, ownedDistillery, Glenlossie Distillery]
Generated description
Glenlossie Distillery is a Speyside Scotch whisky distillery in Scotland known for its light, grassy single malts, much of which is used in blended whiskies.

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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bc458c81909837373d749b915d completed April 28, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1004483d8481908d8316266460589b completed May 22, 2026, 7:22 a.m.
NEDg Description generation batch_6a100628bf1c819082c4aae29969b5c6 completed May 22, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_6a1006d990b48190952b59d5685ea626 completed May 22, 2026, 7:33 a.m.
Created at: April 16, 2026, 8:39 p.m.