Triple

T9785573
Position Surface form Disambiguated ID Type / Status
Subject Limbu E237483 entity
Predicate languageFamily P1047 FINISHED
Object Kiranti languages E137135 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: Kiranti languages | Statement: [Limbu, languageFamily, Kiranti languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiranti languages
Context triple: [Limbu, languageFamily, Kiranti languages]
  • A. Kiranti languages chosen
    The Kiranti languages are a group of closely related Sino-Tibetan languages spoken primarily by the Kirati peoples of eastern Nepal.
  • B. Kherwarian languages
    Kherwarian languages are a subgroup of the Munda branch of the Austroasiatic language family, spoken primarily in eastern and central India by various indigenous communities.
  • C. Dardic languages
    Dardic languages are a group of Indo-Aryan languages spoken primarily in the mountainous regions of northern Pakistan, India, and eastern Afghanistan.
  • D. Nyima languages
    The Nyima languages are a small group of closely related, lesser-known languages spoken by the Nyimang (Ama) people in the Nuba Mountains of Sudan.
  • E. Kharia language
    Kharia language is a Munda language spoken primarily by the Kharia people in eastern India, especially in the states of Jharkhand, Odisha, and Chhattisgarh.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda2107f688190b2cab1509c508319 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4235ae88190aefaa6d9b63031e0 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.