Triple

T5803739
Position Surface form Disambiguated ID Type / Status
Subject Jhansi Junction railway station E128689 entity
Predicate onRailwayLine P848 FINISHED
Object Jhansi–Lucknow line
The Jhansi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the historic city of Jhansi with the state capital, Lucknow, facilitating regional passenger and freight transport.
E553703 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: Jhansi–Lucknow line | Statement: [Jhansi Junction railway station, onRailwayLine, Jhansi–Lucknow line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhansi–Lucknow line
Context triple: [Jhansi Junction railway station, onRailwayLine, Jhansi–Lucknow line]
  • A. Agra–Gwalior–Jhansi line
    The Agra–Gwalior–Jhansi line is a key railway route in northern India that connects the historic cities of Agra, Gwalior, and Jhansi, 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. Delhi–Moradabad–Bareilly–Lucknow line
    The Delhi–Moradabad–Bareilly–Lucknow line is a key Indian Railways route in northern India that connects the national capital Delhi with major cities in Uttar Pradesh, including Moradabad, Bareilly, and the state capital Lucknow.
  • D. 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.
  • 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: Jhansi–Lucknow line
Triple: [Jhansi Junction railway station, onRailwayLine, Jhansi–Lucknow line]
Generated description
The Jhansi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the historic city of Jhansi with the state capital, Lucknow, facilitating regional passenger and freight transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jhansi–Lucknow line
Target entity description: The Jhansi–Lucknow line is a key railway route in the Indian state of Uttar Pradesh that connects the historic city of Jhansi with the state capital, Lucknow, facilitating regional passenger and freight transport.
  • A. Agra–Gwalior–Jhansi line
    The Agra–Gwalior–Jhansi line is a key railway route in northern India that connects the historic cities of Agra, Gwalior, and Jhansi, 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. Delhi–Moradabad–Bareilly–Lucknow line
    The Delhi–Moradabad–Bareilly–Lucknow line is a key Indian Railways route in northern India that connects the national capital Delhi with major cities in Uttar Pradesh, including Moradabad, Bareilly, and the state capital Lucknow.
  • D. 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.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02ad11cf0819094d8f9e4aaf099a2 completed March 22, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0dc78a481908fb97c88b2f642fc completed March 23, 2026, 3:17 a.m.
NEDg Description generation batch_69c0b1cb731481909de9c3fde3595b7b completed March 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69c0b27f53608190b2a1f78e3cd1b634 completed March 23, 2026, 3:24 a.m.
Created at: March 22, 2026, 3:52 p.m.