Triple

T5288109
Position Surface form Disambiguated ID Type / Status
Subject North Central Railway zone E119673 entity
Predicate majorJunction P37486 FINISHED
Object Agra Cantt E377845 NE FINISHED

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: [North Central Railway zone, majorJunction, Agra Cantt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agra Cantt
Context triple: [North Central Railway zone, majorJunction, Agra Cantt]
  • A. Agra
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • B. AGRA
    AGRA is an African-based organization focused on transforming smallholder agriculture to improve food security and incomes across the continent.
  • C. 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.
  • D. Agra Cantonment chosen
    Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
  • E. Aligarh
    Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84db300c8190a63ac51552f0e9a6 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06ecf4748190ab2bdd672f4ab14d completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.