Triple

T2483270
Position Surface form Disambiguated ID Type / Status
Subject Hunza Valley E55867 entity
Predicate near P350 FINISHED
Object 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.
E325785 NE FINISHED

How this triple was built (4 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: Rakaposhi | Statement: [Hunza Valley, near, Rakaposhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rakaposhi
Context triple: [Hunza Valley, near, Rakaposhi]
  • A. Tirich Mir
    Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
  • B. Mani Parbat
    Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
  • 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. Shkhara
    Shkhara is a prominent peak in the Greater Caucasus mountain range, known as one of the highest and most challenging mountains in the region.
  • E. K2
    K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rakaposhi
Triple: [Hunza Valley, near, Rakaposhi]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rakaposhi
Target entity description: 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.
  • A. Tirich Mir
    Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
  • B. Mani Parbat
    Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
  • 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. Shkhara
    Shkhara is a prominent peak in the Greater Caucasus mountain range, known as one of the highest and most challenging mountains in the region.
  • E. K2
    K2 is the world’s second-highest mountain, a notoriously difficult and dangerous peak in the Karakoram range of the Himalayas.
  • F. None of above. chosen

Provenance (5 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_69abd1644b5881908d2931a1dfbbd03b completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1f84f2c5c819084c82bfbd6a3b6f0 completed March 11, 2026, 11:18 p.m.
NEDg Description generation batch_69b1fc11c7dc81908918697b2397b3ef completed March 11, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69b1fcb50fd08190831349b37ed86144 completed March 11, 2026, 11:37 p.m.
Created at: March 6, 2026, 9:45 p.m.