Triple

T2816611
Position Surface form Disambiguated ID Type / Status
Subject Great Trigonometrical Survey of India E54302 entity
Predicate measured P43487 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: [Great Trigonometrical Survey of India, measured, K2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K2
Context triple: [Great Trigonometrical Survey of India, measured, K2]
  • A. K2 chosen
    K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
  • B. Nanga Parbat
    Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
  • C. 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.
  • D. Tirich Mir
    Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
  • E. Muztagh Ata
    Muztagh Ata is a prominent 7,546-meter glaciated peak in western China, known as one of the most accessible high-altitude mountains in the Pamir range and a popular objective for ski-mountaineers and climbers.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abe08ae5048190a0a3b573d9a5fdbc completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdbd9a9c8190b1135a4120ac0c6b completed March 14, 2026, 2:53 a.m.
Created at: March 6, 2026, 9:59 p.m.