Triple

T2483192
Position Surface form Disambiguated ID Type / Status
Subject Baltoro Glacier E55865 entity
Predicate near P350 FINISHED
Object Chogolisa E58235 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: Chogolisa | Statement: [Baltoro Glacier, near, Chogolisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chogolisa
Context triple: [Baltoro Glacier, near, Chogolisa]
  • A. Chogolisa chosen
    Chogolisa is a prominent, heavily glaciated mountain peak in the Karakoram range of the Himalayas, known for its challenging climbing routes and severe weather conditions.
  • B. Mount Karisimbi
    Mount Karisimbi is a prominent stratovolcano in the Virunga Mountains on the border of Rwanda and the Democratic Republic of the Congo, known as one of the highest peaks in East Africa.
  • C. Mount Nyangani
    Mount Nyangani is a prominent mountain in eastern Zimbabwe known for its scenic highland landscapes and status as a popular hiking destination.
  • D. Sajama
    Sajama is the highest mountain in Bolivia, an extinct stratovolcano located in the Andes near the Chilean border.
  • E. Mount Vitsi
    Mount Vitsi is a mountain in northern Greece near the border with Albania, known for its strategic role in the Greek Civil War and its forested slopes that now attract hikers and nature enthusiasts.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd163378481908b75f2f5de0e89c6 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b48d0881909442717d318a6f05 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.