Triple

T5060260
Position Surface form Disambiguated ID Type / Status
Subject Vidarbha E114004 entity
Predicate hasDistrict P459 FINISHED
Object Akola district 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 district | Statement: [Vidarbha, hasDistrict, Akola district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akola district
Context triple: [Vidarbha, hasDistrict, Akola district]
  • A. Alirajpur district
    Alirajpur district is a tribal-dominated district in the western part of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandrasekhar Azad.
  • B. Amravati district
    Amravati district is an administrative district in the state of Maharashtra, India, known for its agricultural economy and as part of the Vidarbha region.
  • C. Sitapur district
    Sitapur district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural landscape and location in the fertile plains of northern India.
  • D. Akola chosen
    Akola is a major city in the Vidarbha region of Maharashtra, India, known as an important commercial and educational center.
  • E. Narmada district
    Narmada district is an administrative district in the state of Gujarat, India, known for the Narmada River and the Statue of Unity near Kevadia.
  • 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_69bf70c59678819097aed5af25f36b66 completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 1:38 p.m.