Triple

T22136677
Position Surface form Disambiguated ID Type / Status
Subject Deen Dayal Upadhyaya railway station E547047 entity
Predicate serves P98 FINISHED
Object Mughalsarai 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: Mughalsarai | Statement: [Deen Dayal Upadhyaya railway station, serves, Mughalsarai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mughalsarai
Context triple: [Deen Dayal Upadhyaya railway station, serves, Mughalsarai]
  • A. Mughalsarai chosen
    Mughalsarai is a major railway and transport hub in Uttar Pradesh, India, known for its large junction station and strategic location on key national routes.
  • B. Sahaspur
    Sahaspur is a legislative assembly constituency located in the Dehradun district of the Indian state of Uttarakhand.
  • C. Shahjahanpur
    Shahjahanpur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known for its historical significance and regional commercial importance.
  • D. Bithoor
    Bithoor is a historic town in Uttar Pradesh, India, known for its religious significance on the banks of the Ganges and its prominent role in the Indian Rebellion of 1857.
  • E. Chandauli
    Chandauli is a town and administrative district headquarters in the eastern Indian state of Uttar Pradesh, known for its agricultural economy and proximity to Varanasi.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bac764819099ba4896a161ef1c completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.