Triple

T15067774
Position Surface form Disambiguated ID Type / Status
Subject Karnali Province E379797 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Tamang E237477 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: Tamang | Statement: [Karnali Province, hasEthnicGroup, Tamang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamang
Context triple: [Karnali Province, hasEthnicGroup, Tamang]
  • A. Tamang chosen
    Tamang is a Sino-Tibetan language spoken primarily by the Tamang people of Nepal and the Nepali diaspora, including Nepali Americans.
  • B. Luimbi
    Luimbi is a Bantu language spoken in parts of Angola, associated with the Zone L group in the Guthrie classification.
  • C. Dasu
    Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
  • D. Tusita
    Tusita is a heavenly realm in Buddhist cosmology where future Buddhas, including Maitreya, reside before their final rebirth.
  • E. Kangtega
    Kangtega is a prominent Himalayan peak in Nepal’s Khumbu region, known for its distinctive saddle-shaped summit and challenging climbing routes.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cb04e88190a42bb0e516df61bc completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.