Triple

T3845222
Position Surface form Disambiguated ID Type / Status
Subject Astore Valley E93552 entity
Predicate near P350 FINISHED
Object Nanga Parbat E88387 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: Nanga Parbat | Statement: [Astore Valley, near, Nanga Parbat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanga Parbat
Context triple: [Astore Valley, near, Nanga Parbat]
  • A. Nanga Parbat chosen
    Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
  • B. Tirich Mir
    Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
  • C. Mani Parbat
    Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
  • D. Gasherbrum I
    Gasherbrum I is one of the world’s fourteen eight-thousanders, a major peak of the Karakoram range on the Pakistan–China border and among the highest mountains on Earth.
  • E. 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.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb655c081909ec5ff3d09eb4778 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d03dbd348190aaaa58a352982248 completed March 14, 2026, 9:16 p.m.
Created at: March 9, 2026, 3:18 p.m.