Triple

T932897
Position Surface form Disambiguated ID Type / Status
Subject Devi E20132 entity
Predicate hasAspect P642 FINISHED
Object Annapurna E35814 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: Annapurna | Statement: [Devi, hasAspect, Annapurna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annapurna
Context triple: [Devi, hasAspect, Annapurna]
  • A. Annapurna chosen
    Annapurna is a prominent massif in north-central Nepal renowned for its towering peaks, including one of the world’s highest mountains, and its challenging trekking and climbing routes.
  • B. Dhaulagiri
    Dhaulagiri is one of the world’s highest and most prominent peaks, a massive Himalayan mountain in north-central Nepal renowned for its steep slopes and challenging climbing routes.
  • C. Mahakala
    Mahakala is a fierce, time-devouring form of the Hindu god Shiva, associated with destruction, protection, and the transcendence of temporal existence.
  • D. Manaslu
    Manaslu is the eighth-highest mountain in the world, a prominent 8,000-meter peak in the Nepalese Himalayas renowned for its challenging climbing routes and dramatic ridgelines.
  • E. Nanga Parbat
    Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34c457c819085cbfa0c798cb4c6 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119792d48190b5e942f2dd3fd34e completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:40 p.m.