Triple

T6054237
Position Surface form Disambiguated ID Type / Status
Subject Varanasi Junction E134867 entity
Predicate isMajorStationOn P30882 FINISHED
Object 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.
E580812 NE FINISHED

How this triple was built (4 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–Patna line | Statement: [Varanasi Junction, isMajorStationOn, Varanasi–Patna line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varanasi–Patna line
Context triple: [Varanasi Junction, isMajorStationOn, Varanasi–Patna line]
  • 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. 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.
  • C. Kanpur–Mathura line
    The Kanpur–Mathura line is a key railway route in northern India connecting the industrial city of Kanpur with the historic city of Mathura, forming part of an important corridor for passenger and freight traffic.
  • D. Delhi–Mumbai line
    The Delhi–Mumbai line is one of India’s busiest and most important railway corridors, connecting the national capital New Delhi with the financial hub Mumbai and passing through major cities in northern and western India.
  • E. Agra–Bandikui–Jaipur line
    The Agra–Bandikui–Jaipur line is a key railway route in northern India that connects the historic city of Agra with Jaipur via Bandikui, serving as an important corridor for both passenger and freight traffic.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Varanasi–Patna line
Triple: [Varanasi Junction, isMajorStationOn, Varanasi–Patna line]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Varanasi–Patna line
Target entity description: 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.
  • 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. 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.
  • C. Kanpur–Mathura line
    The Kanpur–Mathura line is a key railway route in northern India connecting the industrial city of Kanpur with the historic city of Mathura, forming part of an important corridor for passenger and freight traffic.
  • D. Delhi–Mumbai line
    The Delhi–Mumbai line is one of India’s busiest and most important railway corridors, connecting the national capital New Delhi with the financial hub Mumbai and passing through major cities in northern and western India.
  • E. Agra–Bandikui–Jaipur line
    The Agra–Bandikui–Jaipur line is a key railway route in northern India that connects the historic city of Agra with Jaipur via Bandikui, serving as an important corridor for both passenger and freight traffic.
  • F. None of above. chosen

Provenance (5 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05708fda48190ad3d1860969ebb6a completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243af0a108190a315314376332ec6 completed March 24, 2026, 7:56 a.m.
NEDg Description generation batch_69c4fb66b8e8819090524d1ef12688a7 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc3065bc81908d95fbd3d4655c76 completed March 26, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:09 p.m.