Triple

T6103359
Position Surface form Disambiguated ID Type / Status
Subject Rairangpur E136057 entity
Predicate hasCommonLanguage P741 FINISHED
Object Santali E38852 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: Santali | Statement: [Rairangpur, hasCommonLanguage, Santali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santali
Context triple: [Rairangpur, hasCommonLanguage, Santali]
  • A. Santhali chosen
    Santhali is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
  • B. Nagpuri
    Nagpuri is an Indo-Aryan language spoken primarily in parts of eastern India, especially in and around the present-day state of Jharkhand.
  • C. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • D. Bhojpuri
    Bhojpuri is an Indo-Aryan language spoken primarily in eastern Uttar Pradesh, western Bihar, and parts of Nepal, with a rich folk culture and a large diaspora community.
  • E. Mundari
    Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12553f1d4819096de40514ef4d2cb completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.