Triple

T12524682
Position Surface form Disambiguated ID Type / Status
Subject Bihari languages E299404 entity
Predicate hasPart P35 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: [Bihari languages, hasPart, Magahi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magahi
Context triple: [Bihari languages, hasPart, Magahi]
  • A. Magahi chosen
    Magahi is an Eastern Indo-Aryan language spoken primarily in the Indian state of Bihar and surrounding regions.
  • B. Mohanchoti
    Mohanchoti is an island located within Lake Pichola in Udaipur, Rajasthan, India.
  • C. Majangir
    Majangir is an ethnic group of southwestern Ethiopia known for speaking the Majang language, part of the Surmic branch of the Nilo-Saharan language family.
  • D. Maihar
    Maihar is a town in Madhya Pradesh, India, renowned for its revered Maa Sharda Devi temple and its rich Hindustani classical music heritage.
  • E. Majiwada
    Majiwada is a prominent residential and commercial locality in Thane, Maharashtra, known for its major road junctions, high-rise complexes, and proximity to key urban amenities.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc159c88190835fea5c0d9ee799 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.