Triple

T5619747
Position Surface form Disambiguated ID Type / Status
Subject Uttara E147569 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Magahi E53011 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: Magahi | Statement: [Uttara, hasOfficialLanguage, Magahi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magahi
Context triple: [Uttara, hasOfficialLanguage, Magahi]
  • A. Magahi chosen
    Magahi is an Eastern Indo-Aryan language spoken primarily in the Indian state of Bihar and surrounding regions.
  • B. Maihar
    Maihar is a town in Madhya Pradesh, India, renowned for its revered Maa Sharda Devi temple and its rich Hindustani classical music heritage.
  • C. Mahjoor
    Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
  • D. Ballia
    Ballia is a city in the eastern part of Uttar Pradesh, India, known for its role in the Indian independence movement and as an administrative, cultural, and commercial center of the surrounding region.
  • E. Hastinapura
    Hastinapura is the ancient royal capital of the Kuru kingdom in Indian epic tradition, serving as the primary political and familial setting of the Mahabharata.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022108db8819098739510366adee1 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287fcde881908f761b701bf9a4f3 completed March 22, 2026, 5:36 p.m.
Created at: March 22, 2026, 3:40 p.m.