Triple

T22581664
Position Surface form Disambiguated ID Type / Status
Subject Il fiore delle Mille e una notte E544581 entity
Predicate filmingLocation P40 FINISHED
Object Nepal NE NERFINISHED

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: Nepal | Statement: [Il fiore delle Mille e una notte, filmingLocation, Nepal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nepal
Context triple: [Il fiore delle Mille e una notte, filmingLocation, Nepal]
  • A. Nepal chosen
    Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
  • B. Bhutan
    Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
  • C. Gorkha, Nepal
    Gorkha, Nepal is a historic hill town in central Nepal known as the ancestral home of the Shah dynasty and a significant religious and cultural center.
  • D. Tibet
    Tibet is a high-altitude plateau region in Asia, historically known as the homeland of Tibetan Buddhism and the former Tibetan Empire, now an autonomous region of China.
  • E. Kangru
    Kangru is a small village located within Kiili Parish in northern Estonia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff13e288190b5e4b527470be75e completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.