Triple

T10823652
Position Surface form Disambiguated ID Type / Status
Subject Saint Catherine mountain range E255438 entity
Predicate highestPoint P210 FINISHED
Object Mount Catherine E44271 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: Mount Catherine | Statement: [Saint Catherine mountain range, highestPoint, Mount Catherine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Catherine
Context triple: [Saint Catherine mountain range, highestPoint, Mount Catherine]
  • A. Mount Catherine chosen
    Mount Catherine is the highest mountain in Egypt, located in the southern Sinai Peninsula and known for its rugged terrain and religious significance.
  • B. Mount Harriet
    Mount Harriet is a notable peak in the Falkland Islands that gained prominence as a key location during the 1982 Falklands War.
  • C. Mount Sentinel
    Mount Sentinel is a prominent mountain peak within Australia's Snowy Mountains region, known for its rugged alpine terrain and scenic vistas.
  • D. Mount Rosea
    Mount Rosea is a prominent sandstone peak and popular hiking destination within Victoria, Australia’s Grampians mountain range.
  • E. Hamilton Mountain
    Hamilton Mountain is a large, primarily residential and commercial district on the Niagara Escarpment in Hamilton, Ontario, Canada.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734cf7918819094d36ea208c80d12 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb1096cbc81908f3eda562c2da042 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:19 p.m.