Triple

T538542
Position Surface form Disambiguated ID Type / Status
Subject Table Bay E12378 entity
Predicate viewOf P854 FINISHED
Object Table Mountain E53885 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: Table Mountain | Statement: [Table Bay, viewOf, Table Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Table Mountain
Context triple: [Table Bay, viewOf, Table Mountain]
  • A. Table Mountain chosen
    Table Mountain is a flat-topped mountain overlooking Cape Town in South Africa, famous for its distinctive plateau, rich biodiversity, and status as a major natural landmark and tourist attraction.
  • B. Star Mountain
    Star Mountain is the English translation of the Nahuatl name for Pico de Orizaba, the highest volcano in North America and a prominent peak in Mexico.
  • C. Mount Lee
    Mount Lee is a hill in the Hollywood Hills of Los Angeles best known as the site overlooking the iconic Hollywood Sign.
  • D. Queen Mary’s Peak
    Queen Mary’s Peak is the summit of the volcanic island of Tristan da Cunha in the South Atlantic Ocean, known for its rugged terrain and remote location.
  • E. Diamond Head
    Diamond Head is a famous volcanic tuff cone and iconic natural landmark overlooking Waikiki on the island of Oahu in Hawaii.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dd31c88190b3114805aa31931c completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f3f4e08190a625ae085868b191 completed March 2, 2026, 1:12 a.m.
Created at: March 1, 2026, 7:32 p.m.