Triple

T11399092
Position Surface form Disambiguated ID Type / Status
Subject Italian Karakoram expedition of 1954 E270059 entity
Predicate mountain P10602 FINISHED
Object K2 E9638 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: K2 | Statement: [Italian Karakoram expedition of 1954, mountain, K2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K2
Context triple: [Italian Karakoram expedition of 1954, mountain, K2]
  • A. K2
    K2 is a prominent outdoor recreation brand best known for its skis, snowboards, and other winter sports equipment.
  • B. K2 chosen
    K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
  • C. Nanga Parbat
    Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
  • D. Rakaposhi
    Rakaposhi is a prominent 7,788-meter peak in the Karakoram range of northern Pakistan, renowned for its dramatic rise above the surrounding valleys and its striking, pyramid-like profile.
  • E. Tirich Mir
    Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001adc188190ae45227856156412 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a4f804c81909abf5e9a88da1d91 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:34 p.m.