Triple

T20353767
Position Surface form Disambiguated ID Type / Status
Subject Katni–Bilaspur line E496087 entity
Predicate connects P390 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: [Katni–Bilaspur line, connects, Katni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katni
Context triple: [Katni–Bilaspur line, connects, 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. Orohena
    Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67851c7088190ba960a33c6dfa824 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.