Triple

T17628450
Position Surface form Disambiguated ID Type / Status
Subject Ballia railway station E429909 entity
Predicate railwayLine P848 FINISHED
Object Varanasi–Chhapra line 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: Varanasi–Chhapra line | Statement: [Ballia railway station, railwayLine, Varanasi–Chhapra line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varanasi–Chhapra line
Context triple: [Ballia railway station, railwayLine, Varanasi–Chhapra line]
  • A. 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.
  • B. Gorakhpur–Varanasi line
    The Gorakhpur–Varanasi line is a key railway route in the Indian state of Uttar Pradesh that connects the major cities of Gorakhpur and Varanasi, serving as an important corridor for both passenger and freight traffic.
  • C. 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.
  • D. Varanasi–Patna line
    The Varanasi–Patna line is a key Indian Railways route in northern India that connects the major cities of Varanasi and Patna, serving as an important corridor for passenger and freight traffic in the region.
  • E. Kanpur–Jhansi line
    The Kanpur–Jhansi line is a key railway route in northern India that connects the industrial city of Kanpur with Jhansi, facilitating major passenger and freight movement across Uttar Pradesh and beyond.
  • 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: Varanasi–Chhapra line
Target entity description: The Varanasi–Chhapra line is a railway route in northern India that connects the city of Varanasi in Uttar Pradesh with Chhapra in Bihar, serving numerous intermediate towns and regional transport needs.
  • A. 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.
  • B. Gorakhpur–Varanasi line
    The Gorakhpur–Varanasi line is a key railway route in the Indian state of Uttar Pradesh that connects the major cities of Gorakhpur and Varanasi, serving as an important corridor for both passenger and freight traffic.
  • C. 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.
  • D. Varanasi–Patna line
    The Varanasi–Patna line is a key Indian Railways route in northern India that connects the major cities of Varanasi and Patna, serving as an important corridor for passenger and freight traffic in the region.
  • E. Kanpur–Jhansi line
    The Kanpur–Jhansi line is a key railway route in northern India that connects the industrial city of Kanpur with Jhansi, facilitating major passenger and freight movement across Uttar Pradesh and beyond.
  • F. None of above. chosen

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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbe3a308190a818d04f1a9b15f7 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.