Triple

T17617066
Position Surface form Disambiguated ID Type / Status
Subject Nanga Parbat E429110 entity
Predicate hasFace P53390 FINISHED
Object Diamir Face 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: Diamir Face | Statement: [Nanga Parbat, hasFace, Diamir Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diamir Face
Context triple: [Nanga Parbat, hasFace, Diamir Face]
  • A. Diamir Face chosen
    Diamir Face is the western, commonly climbed side of Nanga Parbat, known for its massive ice and rock walls and challenging mountaineering routes.
  • B. Diamir
    Diamir is a mountainous district in Pakistan’s Gilgit-Baltistan region, known as a gateway to Nanga Parbat and the Karakoram Highway.
  • C. Rupal Face
    Rupal Face is the immense, steep southern flank of Nanga Parbat in the Himalayas, renowned as one of the highest mountain faces in the world.
  • D. Jbel Bani
    Jbel Bani is a long, arid mountain range in southern Morocco known for its rugged desert landscapes and traditional Berber settlements.
  • E. Sancy Massif
    Sancy Massif is a volcanic mountain range in France’s Massif Central, known for its highest peak Puy de Sancy and popular hiking and winter sports.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.