Triple

T25368156
Position Surface form Disambiguated ID Type / Status
Subject Bellabeg E632858 entity
Predicate hasCulturalEvent P2955 FINISHED
Object Lonach Highland Games
The Lonach Highland Games is a traditional Scottish Highland gathering held annually in Strathdon, Aberdeenshire, featuring athletic competitions, pipe bands, and cultural celebrations.
E1692360 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: Lonach Highland Games | Statement: [Bellabeg, hasCulturalEvent, Lonach Highland Games]
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: Lonach Highland Games
Triple: [Bellabeg, hasCulturalEvent, Lonach Highland Games]
Generated description
The Lonach Highland Games is a traditional Scottish Highland gathering held annually in Strathdon, Aberdeenshire, featuring athletic competitions, pipe bands, and cultural celebrations.

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_69e75a90c0dc819092f928b6ea0ecc72 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4a10fcebc8190abea11247d65a276 completed May 1, 2026, 12:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cbcff1c88190b1ecb211e3071b7a completed May 22, 2026, 9:34 p.m.
NEDg Description generation batch_6a10cc4b6a148190bd5e4f15b4865bd6 completed May 22, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_6a10ccc0f98081908f4819dd1f61c492 completed May 22, 2026, 9:38 p.m.
Created at: April 21, 2026, 1:38 p.m.