Triple

T27148017
Position Surface form Disambiguated ID Type / Status
Subject Westward Ho! E682002 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Royal North Devon Golf Club
Royal North Devon Golf Club is England’s oldest golf course, a historic links layout located on the North Devon coast near Westward Ho!.
E1756663 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 North Devon Golf Club | Statement: [Westward Ho!, hasNearbyAttraction, Royal North Devon Golf 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: Royal North Devon Golf Club
Triple: [Westward Ho!, hasNearbyAttraction, Royal North Devon Golf Club]
Generated description
Royal North Devon Golf Club is England’s oldest golf course, a historic links layout located on the North Devon coast near Westward Ho!.

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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f624c7ad888190b57bb987a8202789 completed May 2, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12482959088190a3c0fa8843bc8c48 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a124968c3448190a5db1b22cfab9ba3 completed May 24, 2026, 12:42 a.m.
NED2 Entity disambiguation (via description) batch_6a124a29725c81909909899720a829a9 completed May 24, 2026, 12:45 a.m.
Created at: April 27, 2026, 9:12 a.m.