Triple

T23342902
Position Surface form Disambiguated ID Type / Status
Subject NorthColRoute E591780 entity
Predicate locatedIn P40 FINISHED
Object Tibet 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: Tibet | Statement: [NorthColRoute, locatedIn, Tibet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibet
Context triple: [NorthColRoute, locatedIn, Tibet]
  • A. Tibet chosen
    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.
  • B. Địa Tạng
    Địa Tạng is the Vietnamese name for the bodhisattva Ksitigarbha, revered in Mahayana Buddhism for his vow to aid beings in hell realms and guide the deceased toward liberation.
  • C. Trashiyangtse
    Trashiyangtse is a town in northeastern Bhutan known as an administrative and cultural center, noted for its traditional crafts and proximity to important religious sites.
  • D. Wallichia
    Wallichia is a genus of palms native to South and Southeast Asia, named in honor of the Danish botanist Nathaniel Wallich.
  • E. Nepal
    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.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983431f08190b0078728d44872a8 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.