Triple

T22203563
Position Surface form Disambiguated ID Type / Status
Subject Broad Stand E548742 entity
Predicate alternativeTo P5887 FINISHED
Object Lord’s Rake NE NERFINISHED

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: Lord’s Rake | Statement: [Broad Stand, alternativeTo, Lord’s Rake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord’s Rake
Context triple: [Broad Stand, alternativeTo, Lord’s Rake]
  • A. Lord’s Rake chosen
    Lord’s Rake is a steep, loose-stoned gully and popular but challenging scrambling route on the mountain Scafell in England’s Lake District.
  • B. The Affairs of a Gentleman
    The Affairs of a Gentleman is a 1934 American drama film best known for featuring actress Frances Drake in a prominent role.
  • C. The Lady Dannatt
    The Lady Dannatt is a British public figure and representative of the Crown who serves as the ceremonial head of the county of Norfolk.
  • D. Lord of Harcourt
    Lord of Harcourt is a noble title historically associated with French aristocracy and held by members of the influential House of Lorraine.
  • E. The Earl of Home
    The Earl of Home was a prominent British Conservative politician who served as Prime Minister and held several senior government and diplomatic roles in the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b25eac4819094b3c50027ed66db completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.