Triple

T12261414
Position Surface form Disambiguated ID Type / Status
Subject Glen Shiel E292233 entity
Predicate hasMountain P10602 FINISHED
Object The Saddle
The Saddle is a prominent and rugged Munro in the Northwest Highlands of Scotland, famed for its dramatic Forcan Ridge and challenging scrambling routes.
E971093 NE FINISHED

How this triple was built (4 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: The Saddle | Statement: [Glen Shiel, hasMountain, The Saddle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Saddle
Context triple: [Glen Shiel, hasMountain, The Saddle]
  • A. The Saddle Buster
    The Saddle Buster is a Western film featuring actor Tom Keene in a leading role.
  • B. The Rider
    The Rider is a critically acclaimed 2017 American drama film that blends fiction and reality to portray a young cowboy’s struggle to redefine his identity after a life-changing rodeo injury.
  • C. The Man in the Saddle
    The Man in the Saddle is a film associated with American actor and comedian Eddie Bracken, known for his work in mid-20th-century cinema.
  • D. The Mysterious Rider
    The Mysterious Rider is a 1938 American Western film, based on a Zane Grey story, featuring Martha Vickers in one of her early screen roles.
  • E. The Blue Horse
    The Blue Horse was the traditional nickname of the 4th Royal Irish Dragoon Guards, a cavalry regiment of the British Army.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: The Saddle
Triple: [Glen Shiel, hasMountain, The Saddle]
Generated description
The Saddle is a prominent and rugged Munro in the Northwest Highlands of Scotland, famed for its dramatic Forcan Ridge and challenging scrambling routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Saddle
Target entity description: The Saddle is a prominent and rugged Munro in the Northwest Highlands of Scotland, famed for its dramatic Forcan Ridge and challenging scrambling routes.
  • A. The Saddle Buster
    The Saddle Buster is a Western film featuring actor Tom Keene in a leading role.
  • B. The Rider
    The Rider is a critically acclaimed 2017 American drama film that blends fiction and reality to portray a young cowboy’s struggle to redefine his identity after a life-changing rodeo injury.
  • C. The Man in the Saddle
    The Man in the Saddle is a film associated with American actor and comedian Eddie Bracken, known for his work in mid-20th-century cinema.
  • D. The Mysterious Rider
    The Mysterious Rider is a 1938 American Western film, based on a Zane Grey story, featuring Martha Vickers in one of her early screen roles.
  • E. The Blue Horse
    The Blue Horse was the traditional nickname of the 4th Royal Irish Dragoon Guards, a cavalry regiment of the British Army.
  • F. None of above. chosen

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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac3ce008190856a917c2c75862a completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f220554819088c0aa5706f44856 completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60f9f40f48190b60be483d1922b22 completed May 2, 2026, 2:52 p.m.
Created at: April 8, 2026, 9:52 p.m.