Triple

T21403808
Position Surface form Disambiguated ID Type / Status
Subject Mathura Junction railway station E527978 entity
Predicate liesOnRoute P6309 FINISHED
Object Agra–Lucknow route
The Agra–Lucknow route is a major railway corridor in the Indian state of Uttar Pradesh that connects the historic city of Agra with the state capital Lucknow, passing through key junctions such as Mathura.
E1484061 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: Agra–Lucknow route | Statement: [Mathura Junction railway station, liesOnRoute, Agra–Lucknow route]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agra–Lucknow route
Context triple: [Mathura Junction railway station, liesOnRoute, Agra–Lucknow route]
  • A. Agra–Jaipur route
    The Agra–Jaipur route is a major railway corridor in northern India that connects the historic city of Agra in Uttar Pradesh with the tourist hub of Jaipur in Rajasthan, passing through important intermediate stations such as Bharatpur.
  • B. Delhi–Saharanpur route
    The Delhi–Saharanpur route is a key railway corridor in northern India connecting the national capital region with the city of Saharanpur via important junctions such as Meerut.
  • 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. Saharanpur–Lucknow line
    The Saharanpur–Lucknow line is a railway route in northern India that connects the city of Saharanpur in western Uttar Pradesh to the state capital Lucknow, serving as an important corridor for regional passenger and freight traffic.
  • E. 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.
  • 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: Agra–Lucknow route
Triple: [Mathura Junction railway station, liesOnRoute, Agra–Lucknow route]
Generated description
The Agra–Lucknow route is a major railway corridor in the Indian state of Uttar Pradesh that connects the historic city of Agra with the state capital Lucknow, passing through key junctions such as Mathura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Agra–Lucknow route
Target entity description: The Agra–Lucknow route is a major railway corridor in the Indian state of Uttar Pradesh that connects the historic city of Agra with the state capital Lucknow, passing through key junctions such as Mathura.
  • A. Agra–Jaipur route
    The Agra–Jaipur route is a major railway corridor in northern India that connects the historic city of Agra in Uttar Pradesh with the tourist hub of Jaipur in Rajasthan, passing through important intermediate stations such as Bharatpur.
  • B. Delhi–Saharanpur route
    The Delhi–Saharanpur route is a key railway corridor in northern India connecting the national capital region with the city of Saharanpur via important junctions such as Meerut.
  • 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. Saharanpur–Lucknow line
    The Saharanpur–Lucknow line is a railway route in northern India that connects the city of Saharanpur in western Uttar Pradesh to the state capital Lucknow, serving as an important corridor for regional passenger and freight traffic.
  • E. 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.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1729eb48190a4ea48bf1f158a37 completed April 22, 2026, 11:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c298bc6c81909c1c9bceeb11b678 completed May 17, 2026, 1:28 p.m.
NEDg Description generation batch_6a09c3df4b948190a7f039d70e8d56aa completed May 17, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_6a09c49aa5b881908ac2e920684a9fa2 completed May 17, 2026, 1:37 p.m.
Created at: April 16, 2026, 5:28 p.m.