Triple

T1409292
Position Surface form Disambiguated ID Type / Status
Subject Khari Boli E31768 entity
Predicate hasAlternativeName P39 FINISHED
Object Kauravi Hindi E161530 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: Kauravi Hindi | Statement: [Khari Boli, hasAlternativeName, Kauravi Hindi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kauravi Hindi
Context triple: [Khari Boli, hasAlternativeName, Kauravi Hindi]
  • A. Kauravi chosen
    Kauravi is a dialect of Hindi-Urdu historically spoken in the Delhi and western Uttar Pradesh region, considered a major basis for the standard Hindi register.
  • B. Baleswari Odia
    Baleswari Odia is a regional variety of the Odia language spoken primarily in the Balasore (Baleswar) region of Odisha, India.
  • C. Kesari
    Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
  • D. Malwai Punjabi
    Malwai Punjabi is a regional variety of the Punjabi language spoken primarily in the Malwa region of the Indian state of Punjab.
  • E. Bagheli
    Bagheli is an Indo-Aryan language spoken primarily in the Bagelkhand region of central India, closely related to Hindi and used by millions as a regional vernacular.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3c10f44819085e1c4601423740d completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015a52a88190933e7337067e5364 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.