Triple

T22528728
Position Surface form Disambiguated ID Type / Status
Subject Jalna district E556973 entity
Predicate borderedBy P224 FINISHED
Object Parbhani district NE NERFINISHED

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: Parbhani district | Statement: [Jalna district, borderedBy, Parbhani district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parbhani district
Context triple: [Jalna district, borderedBy, Parbhani district]
  • A. Parbhani district chosen
    Parbhani district is an administrative district in the Marathwada region of Maharashtra, India, known for its predominantly agrarian economy and historical ties to the former Hyderabad State.
  • B. Nayagarh district
    Nayagarh district is an administrative district in the eastern Indian state of Odisha, known for its hilly terrain, forests, and cultural heritage.
  • C. 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.
  • D. Bhandara district
    Bhandara district is an administrative district in the Indian state of Maharashtra, located in the Vidarbha region and known for its rice production and lakes.
  • E. Babu District
    Babu District is an urban district and key administrative area within the prefecture-level city of Hezhou in Guangxi, China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed4d4608190ba93bb54f15334a5 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.