Triple

T2596188
Position Surface form Disambiguated ID Type / Status
Subject Chogolisa E58235 entity
Predicate hasSummit P8024 FINISHED
Object Chogolisa I 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 I | Statement: [Chogolisa, hasSummit, Chogolisa I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chogolisa I
Context triple: [Chogolisa, hasSummit, Chogolisa I]
  • 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. Kiliwa
    Kiliwa is an indigenous people of northern Baja California, Mexico, known for their distinct Yuman language and traditional hunter-gatherer culture.
  • C. Erg Chigaga
    Erg Chigaga is a vast, remote dune field in southern Morocco known for its towering sand dunes and desert wilderness landscapes.
  • D. Kololo Hill
    Kololo Hill is an upscale residential and diplomatic neighborhood in Kampala, Uganda, known for its embassies, luxury homes, and city views.
  • E. Gigiri
    Gigiri is an affluent diplomatic and residential district in Nairobi, Kenya, known for hosting major international institutions and embassies.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42b3cd4819093b2cab78de1f66c completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83c798088190944e7d754aa9aa06 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:49 p.m.