Triple

T5155771
Position Surface form Disambiguated ID Type / Status
Subject Bagheli E116304 entity
Predicate regionNamedAfter P21974 FINISHED
Object Bagelkhand E481487 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: Bagelkhand | Statement: [Bagheli, regionNamedAfter, Bagelkhand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagelkhand
Context triple: [Bagheli, regionNamedAfter, Bagelkhand]
  • A. Bagelkhand chosen
    Bagelkhand is a historical and cultural region in central India, largely spanning parts of present-day Madhya Pradesh and Uttar Pradesh, known for its princely states and distinctive Bagheli language and traditions.
  • B. Bakkhali
    Bakkhali is a seaside town and beach resort on the Bay of Bengal in the Indian state of West Bengal, known for its tranquil beaches and scenic coastal views.
  • C. Khairabadi
    Khairabadi is a South Asian surname most notably associated with the prominent Islamic scholar and poet Fazl-e-Haq Khairabadi and his descendants.
  • D. Kashi
    Kashi, also known as Varanasi, is one of Hinduism’s holiest and oldest continuously inhabited cities, revered as a major center of pilgrimage, ritual, and learning on the banks of the Ganges River.
  • E. Kasarani
    Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
  • 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_69bed927ad5481909907c8a1764e9fd8 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.