Triple

T20671920
Position Surface form Disambiguated ID Type / Status
Subject New Delhi–Mumbai trunk route (via Agra–Jhansi) E508046 entity
Predicate majorStation P1071 FINISHED
Object Agra Cantt NE NERFINISHED

How this triple was built (2 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 Cantt | Statement: [New Delhi–Mumbai trunk route (via Agra–Jhansi), majorStation, Agra Cantt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agra Cantt
Context triple: [New Delhi–Mumbai trunk route (via Agra–Jhansi), majorStation, Agra Cantt]
  • A. Agra Cantt chosen
    Agra Cantt is the main railway station and a major rail hub in Agra, Uttar Pradesh, serving as a key junction on several important long-distance routes across India.
  • B. Agra
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • C. AGRA
    AGRA is an African-based organization focused on transforming smallholder agriculture to improve food security and incomes across the continent.
  • D. Ayodhya Cantt
    Ayodhya Cantt is a major railway station serving the city of Ayodhya in Uttar Pradesh, India, connecting it to key destinations across the country.
  • E. Seelampur
    Seelampur is a densely populated residential and commercial locality in East Delhi, India, known for its bustling markets and proximity to Shahdara.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cb1fc88190805f623e93a70368 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.