Triple

T17262425
Position Surface form Disambiguated ID Type / Status
Subject Yi people E419038 entity
Predicate autonym P1435 FINISHED
Object Nuosu E748952 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: Nuosu | Statement: [Yi people, autonym, Nuosu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuosu
Context triple: [Yi people, autonym, Nuosu]
  • A. Nuosu chosen
    Nuosu are a subgroup of the Yi people in southwest China, known for their distinct Tibeto-Burman language, script, and highland culture.
  • B. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • C. Noske
    Noske is a German surname most notably associated with Gustav Noske, a Social Democratic politician who played a key role in the early Weimar Republic.
  • D. Nuuro
    Nuuro is the electronic pop music project of Venezuelan producer and songwriter Alejandro Ghersi, who later became widely known under the name Arca.
  • E. Nusle
    Nusle is a district of Prague known for its large valley spanned by the iconic Nusle Bridge and its mix of residential, commercial, and historical urban areas.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e717a348190ae6835fb08f38125 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171041f2c81909bf52025d68912fc completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:40 a.m.