Triple

T5060230
Position Surface form Disambiguated ID Type / Status
Subject Vidarbha E114004 entity
Predicate hasMajorCity P316 FINISHED
Object Akola E166095 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: Akola | Statement: [Vidarbha, hasMajorCity, Akola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akola
Context triple: [Vidarbha, hasMajorCity, Akola]
  • A. Akola chosen
    Akola is a major city in the Vidarbha region of Maharashtra, India, known as an important commercial and educational center.
  • B. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • C. Ashoknagar
    Ashoknagar is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and regional trade.
  • D. Hoshangabad
    Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
  • E. Jalgaon
    Jalgaon is a city in northwestern Maharashtra, India, known as a major commercial center for banana production and trade.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7472a1dc8190942f568a81fdd961 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49283f48190b5db5ad78f332f95 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.