Triple

T20170613
Position Surface form Disambiguated ID Type / Status
Subject East Nimar E491947 entity
Predicate containsTown P847 FINISHED
Object Pandhana 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: Pandhana | Statement: [East Nimar, containsTown, Pandhana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandhana
Context triple: [East Nimar, containsTown, Pandhana]
  • A. Pandhana chosen
    Pandhana is a town in the Khandwa district of Madhya Pradesh, India, known as a local administrative and commercial center for surrounding rural areas.
  • B. Parasponia
    Parasponia is a small genus of tropical trees and shrubs notable for being the only non-leguminous plants known to form nitrogen-fixing symbioses with rhizobial bacteria.
  • C. Pipturus
    Pipturus is a genus of flowering plants in the nettle order known for its shrubby species, some of which produce fibrous bark and small edible fruits.
  • D. Rhodelia
    Rhodelia is an unincorporated rural community located in Meade County, Kentucky, United States.
  • E. Aphananthe
    Aphananthe is a small genus of flowering trees and shrubs known for their hard wood and occurrence in warm temperate to tropical regions.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66847ed9481908e6b23b399fa7005 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.