Triple

T21908474
Position Surface form Disambiguated ID Type / Status
Subject Lepcha E541000 entity
Predicate hasAutonym P1435 FINISHED
Object Róng 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: Róng | Statement: [Lepcha, hasAutonym, Róng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Róng
Context triple: [Lepcha, hasAutonym, Róng]
  • A. Róng chosen
    Róng is the endonym used by the Lepcha people to refer to their own language spoken primarily in parts of India, Bhutan, and Nepal.
  • B. Ronglan
    Ronglan is a village and railway stop in Levanger municipality in Trøndelag county, Norway.
  • C. Rongji
    Rongji is the given name of Zhu Rongji, the former Premier of the People's Republic of China known for his economic reforms and administrative efficiency.
  • D. Rengong
    Rengong is the courtesy name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • E. Renqiong
    Renqiong is the given name of Song Renqiong, a prominent Chinese Communist revolutionary and political leader.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d806688190b23502aacbfde4bd completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:39 p.m.