Triple

T9921279
Position Surface form Disambiguated ID Type / Status
Subject Pokhara E187800 entity
Predicate hasEthnicGroups P12220 FINISHED
Object Magar E237481 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: Magar | Statement: [Pokhara, hasEthnicGroups, Magar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magar
Context triple: [Pokhara, hasEthnicGroups, Magar]
  • A. Magar chosen
    Magar are an indigenous ethnic group of Nepal known for their distinct language, culture, and significant presence in the country’s military history.
  • B. Mugling
    Mugling is a small but important transport junction town in central Nepal, serving as a key crossroads between major highways connecting Kathmandu, Pokhara, and the southern plains.
  • C. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • D. Maggu
    Maggu is a character from the Indian comic series "Chacha Chaudhary," known as one of the recurring goons who often clash with the protagonists.
  • E. Mukerian
    Mukerian is a town and municipal council in the Indian state of Punjab, known for its strategic location near the Beas River and the Mukerian Hydel Project.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb56abbb88190a21b8b77f1a25b81 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e019f788190a0106b60c8a39efa completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:42 p.m.