Triple

T21261018
Position Surface form Disambiguated ID Type / Status
Subject Kanpur–Mathura line E524000 entity
Predicate partOfCorridor P840 FINISHED
Object Delhi–Howrah route via Kanpur NE NERFINISHED

How this triple was built (3 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: Delhi–Howrah route via Kanpur | Statement: [Kanpur–Mathura line, partOfCorridor, Delhi–Howrah route via Kanpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delhi–Howrah route via Kanpur
Context triple: [Kanpur–Mathura line, partOfCorridor, Delhi–Howrah route via Kanpur]
  • A. Varanasi–Lucknow line
    The Varanasi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the major cities of Varanasi and Lucknow, serving as an important corridor for both passenger and freight traffic.
  • B. Howrah–Prayagraj–Mumbai line
    The Howrah–Prayagraj–Mumbai line is a major Indian Railways trunk route connecting Kolkata (Howrah) in the east with Mumbai in the west via Prayagraj, passing through key junctions across northern and central India.
  • C. New Delhi–Jhansi
    New Delhi–Jhansi is a major intercity rail corridor in northern India connecting the national capital with the historic city of Jhansi in Uttar Pradesh.
  • D. Varanasi–Jaunpur line
    The Varanasi–Jaunpur line is a railway route in the Indian state of Uttar Pradesh that connects the historic city of Varanasi with Jaunpur, serving as an important regional passenger and freight corridor.
  • E. Delhi–Kanpur section
    The Delhi–Kanpur section is a major railway corridor in northern India that connects the national capital Delhi with the industrial city of Kanpur, carrying heavy passenger and freight traffic.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Delhi–Howrah route via Kanpur
Target entity description: The Delhi–Howrah route via Kanpur is a major Indian Railways trunk corridor connecting the national capital Delhi with Kolkata (Howrah) through Kanpur, forming one of the busiest and most important passenger and freight routes in the country.
  • A. Varanasi–Lucknow line
    The Varanasi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the major cities of Varanasi and Lucknow, serving as an important corridor for both passenger and freight traffic.
  • B. Howrah–Prayagraj–Mumbai line
    The Howrah–Prayagraj–Mumbai line is a major Indian Railways trunk route connecting Kolkata (Howrah) in the east with Mumbai in the west via Prayagraj, passing through key junctions across northern and central India.
  • C. New Delhi–Jhansi
    New Delhi–Jhansi is a major intercity rail corridor in northern India connecting the national capital with the historic city of Jhansi in Uttar Pradesh.
  • D. Varanasi–Jaunpur line
    The Varanasi–Jaunpur line is a railway route in the Indian state of Uttar Pradesh that connects the historic city of Varanasi with Jaunpur, serving as an important regional passenger and freight corridor.
  • E. Delhi–Kanpur section chosen
    The Delhi–Kanpur section is a major railway corridor in northern India that connects the national capital Delhi with the industrial city of Kanpur, carrying heavy passenger and freight traffic.
  • F. None of above.

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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e6a0448190ad412a8fcbbd8ff0 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.