Triple

T20671789
Position Surface form Disambiguated ID Type / Status
Subject NCR E508043 entity
Predicate hasImportantRoute P13417 FINISHED
Object Itarsi–Jhansi–Kanpur route
The Itarsi–Jhansi–Kanpur route is a major Indian railway corridor connecting central India with northern Uttar Pradesh, serving as a key trunk line for passenger and freight traffic.
E522859 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: Itarsi–Jhansi–Kanpur route | Statement: [NCR, hasImportantRoute, Itarsi–Jhansi–Kanpur route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itarsi–Jhansi–Kanpur route
Context triple: [NCR, hasImportantRoute, Itarsi–Jhansi–Kanpur route]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Lucknow–Gorakhpur line
    The Lucknow–Gorakhpur line is a major railway route in the Indian state of Uttar Pradesh that connects the state capital Lucknow with the important rail hub of Gorakhpur, serving numerous intermediate towns and facilitating regional passenger and freight transport.
  • 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: Itarsi–Jhansi–Kanpur route
Triple: [NCR, hasImportantRoute, Itarsi–Jhansi–Kanpur route]
Generated description
The Itarsi–Jhansi–Kanpur route is a major Indian railway corridor connecting central India with northern Uttar Pradesh, serving as a key trunk line for passenger and freight traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Itarsi–Jhansi–Kanpur route
Target entity description: The Itarsi–Jhansi–Kanpur route is a major Indian railway corridor connecting central India with northern Uttar Pradesh, serving as a key trunk line for passenger and freight traffic.
  • A. Kanpur–Jhansi line chosen
    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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Lucknow–Gorakhpur line
    The Lucknow–Gorakhpur line is a major railway route in the Indian state of Uttar Pradesh that connects the state capital Lucknow with the important rail hub of Gorakhpur, serving numerous intermediate towns and facilitating regional passenger and freight transport.
  • F. None of above.

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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c92aa8819096fbe0ca5101d01b completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd66b6b88190a863948cb31c9af7 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175eefc8190a5178c0f70f7d79f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d23e8ac48190be1726c8e4913b1a completed May 16, 2026, 8:23 p.m.
Created at: April 16, 2026, 11:44 a.m.