Triple

T20022461
Position Surface form Disambiguated ID Type / Status
Subject Edward Oehler E494897 entity
Predicate climbed P6287 FINISHED
Object Mount Kilimanjaro 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: Mount Kilimanjaro | Statement: [Edward Oehler, climbed, Mount Kilimanjaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kilimanjaro
Context triple: [Edward Oehler, climbed, Mount Kilimanjaro]
  • A. Mount Kilimanjaro chosen
    Mount Kilimanjaro is a massive dormant stratovolcano in northeastern Tanzania and the tallest mountain in Africa, famed for its snow-capped summit rising above the surrounding savanna.
  • B. Mlima Meru
    Mlima Meru is the Swahili name for Mount Meru, a prominent active stratovolcano and popular trekking destination in northern Tanzania near Mount Kilimanjaro.
  • C. Mount Kenya
    Mount Kenya is an extinct stratovolcano in central Kenya and Africa’s second-highest mountain, renowned for its rugged peaks, glaciers, and alpine ecosystems.
  • D. Mount Stanley
    Mount Stanley is the highest mountain in the Rwenzori Range on the border of Uganda and the Democratic Republic of the Congo, known for its glaciated peaks and challenging alpine climbs.
  • E. Mount Stanley
    Mount Stanley is a prominent peak in the Canadian Rockies, known for its rugged alpine terrain and glaciated slopes.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.