Triple

T5155755
Position Surface form Disambiguated ID Type / Status
Subject Bagheli E116304 entity
Predicate usedAlongside P4791 FINISHED
Object Standard Hindi E5054 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: Standard Hindi | Statement: [Bagheli, usedAlongside, Standard Hindi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Hindi
Context triple: [Bagheli, usedAlongside, Standard Hindi]
  • A. Hindi chosen
    Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
  • B. Western Hindi
    Western Hindi is a subgroup of the Indo-Aryan languages spoken primarily in northern India, encompassing dialects such as Hindustani, Khariboli, and Braj Bhasha.
  • C. Standard Odia
    Standard Odia is the standardized literary and official form of the Odia language used in education, administration, and formal communication.
  • D. Khari Boli
    Khari Boli is a major dialect of the Hindi-Urdu language continuum, historically associated with the Delhi region and serving as the primary basis for Standard Hindi.
  • E. Bundelkhandi Hindi
    Bundelkhandi Hindi is a Western Hindi dialect spoken primarily in the Bundelkhand region of central India, encompassing parts of Uttar Pradesh and Madhya Pradesh.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79019c6481909641f173c5b3769a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0123bc48190920f60fc29f64734 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.