Triple

T7660814
Position Surface form Disambiguated ID Type / Status
Subject Pengo E173498 entity
Predicate influencedBy P9 FINISHED
Object Odia language E24420 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: Odia language | Statement: [Pengo, influencedBy, Odia language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odia language
Context triple: [Pengo, influencedBy, Odia language]
  • A. Odia chosen
    Odia is an Indo-Aryan language spoken primarily in the Indian state of Odisha, known for its rich literary tradition and classical language status.
  • B. Santhali
    Santhali is an Austroasiatic language spoken primarily by the Santal people in eastern India, Bangladesh, Nepal, and Bhutan.
  • C. Chittagonian language
    The Chittagonian language is an Eastern Indo-Aryan language spoken primarily in the Chittagong region of southeastern Bangladesh, known for its distinct phonology and limited mutual intelligibility with Standard Bengali.
  • D. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a47a5c8190867e39f552c86787 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9527088190b3d7fd0987e66f35 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:59 p.m.