Triple

T22780060
Position Surface form Disambiguated ID Type / Status
Subject Panchen Lama E563812 entity
Predicate countryOfOrigin P26 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: [Panchen Lama, countryOfOrigin, Tibet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibet
Context triple: [Panchen Lama, countryOfOrigin, 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2cab0881908df1d0629b43d350 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:28 p.m.