Triple

T28864428
Position Surface form Disambiguated ID Type / Status
Subject Lyke Wake Walk E728958 entity
Predicate associatedOrganization P37 FINISHED
Object Lyke Wake Club
The Lyke Wake Club is an organization dedicated to promoting, supporting, and preserving the tradition of completing the challenging Lyke Wake Walk across the North York Moors in England.
E1836035 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: Lyke Wake Club | Statement: [Lyke Wake Walk, associatedOrganization, Lyke Wake Club]
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: Lyke Wake Club
Triple: [Lyke Wake Walk, associatedOrganization, Lyke Wake Club]
Generated description
The Lyke Wake Club is an organization dedicated to promoting, supporting, and preserving the tradition of completing the challenging Lyke Wake Walk across the North York Moors in England.

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_69f031a01cbc8190ba87270bb6fe4639 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f65a1a21ac819084b6b38b871d9759 completed May 2, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbc3fac08190a37fd1e4cc8b4907 completed June 7, 2026, 12:31 a.m.
NEDg Description generation batch_6a24c04fe0f48190829c6dd2c0026650 completed June 7, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a24c4255b748190985f57aedda13c1c completed June 7, 2026, 1:06 a.m.
Created at: April 28, 2026, 6:48 a.m.