Triple

T6488141
Position Surface form Disambiguated ID Type / Status
Subject Friar’s Crag E146565 entity
Predicate hasViewOf P854 FINISHED
Object High Spy E517066 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: High Spy | Statement: [Friar’s Crag, hasViewOf, High Spy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Spy
Context triple: [Friar’s Crag, hasViewOf, High Spy]
  • A. High Spy chosen
    High Spy is a prominent fell in England’s Lake District, forming part of the rugged ridge between Borrowdale and Newlands Valley and offering extensive views over the surrounding Cumbrian landscape.
  • B. The Spy
    "The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
  • C. The Spy
    The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
  • D. SPY
    SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
  • E. Stealth
    Stealth is a high-speed launched roller coaster at Thorpe Park in the UK, known for its intense acceleration and towering vertical top hat.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a97fff88190b6f993c14df62649 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b792f48190b301cdc643db8ddf completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.