Triple

T19168402
Position Surface form Disambiguated ID Type / Status
Subject Balaghat district E469247 entity
Predicate borderedBy P224 FINISHED
Object Mandla 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: Mandla district | Statement: [Balaghat district, borderedBy, Mandla district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandla district
Context triple: [Balaghat district, borderedBy, Mandla district]
  • A. Mandla district chosen
    Mandla district is an administrative district in the central Indian state of Madhya Pradesh, known for its forested landscapes, tribal population, and proximity to Kanha National Park.
  • B. Kgatleng District
    Kgatleng District is an administrative region in southeastern Botswana known for its rural villages and proximity to the capital, Gaborone.
  • C. Insiza District
    Insiza District is a rural administrative district in Zimbabwe’s Matabeleland South Province, known for its mining and agricultural activities.
  • D. Liwale District
    Liwale District is an administrative district in Tanzania’s Lindi Region, known for its vast, sparsely populated area that includes part of the Selous (Nyerere) Game Reserve.
  • E. Pang Mapha District
    Pang Mapha District is a rural, mountainous district in northern Thailand known for its caves, karst landscapes, and ethnic minority communities.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16132e081908c6b8d576163316e completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.