Triple

T20991346
Position Surface form Disambiguated ID Type / Status
Subject Damoh railway station E517030 entity
Predicate connectsTo P845 FINISHED
Object Katni 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: Katni | Statement: [Damoh railway station, connectsTo, Katni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katni
Context triple: [Damoh railway station, connectsTo, Katni]
  • A. Katni chosen
    Katni is an industrial city in central India known for its cement factories, railway junction, and marble and limestone mining.
  • B. Katni Junction
    Katni Junction is a major railway junction in Madhya Pradesh, India, serving as an important connecting hub for multiple rail routes across central and northern India.
  • C. Kevil
    Kevil is a small city located in Ballard County in the western part of the U.S. state of Kentucky.
  • D. Armona
    Armona is a small unincorporated community located in California’s San Joaquin Valley.
  • E. District 12
    District 12 is the impoverished coal-mining district in Panem best known as the home of Katniss Everdeen in The Hunger Games series.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1ba3d0819080d9d03817a45026 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:50 p.m.