Triple

T16503638
Position Surface form Disambiguated ID Type / Status
Subject Low’s Peak E400863 entity
Predicate firstAscentBy P1321 FINISHED
Object Hugh Low E361678 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: Hugh Low | Statement: [Low’s Peak, firstAscentBy, Hugh Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Low
Context triple: [Low’s Peak, firstAscentBy, Hugh Low]
  • A. Hugh Low chosen
    Hugh Low was a 19th-century British colonial administrator and naturalist best known for leading the first recorded ascent of Mount Kinabalu in Borneo.
  • B. Cecil Brown
    Cecil Brown is a name shared by several notable individuals, including an American novelist and academic, a World War II war correspondent, and a British politician.
  • C. Russell Hill
    Russell Hill is a locality in Canberra, Australia, situated close to the parliamentary precinct of Capital Hill.
  • D. Lynton Brent
    Lynton Brent was an American character actor best known for his numerous supporting roles in comedy shorts, particularly those of The Three Stooges, during the 1930s and 1940s.
  • E. Nigel Lane
    Nigel Lane is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or roles.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607e933c8190ae0572583b5a9cbf completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.