Triple

T12343879
Position Surface form Disambiguated ID Type / Status
Subject Udaipur City railway station E294297 entity
Predicate connectsTo P845 FINISHED
Object Ajmer E449967 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: Ajmer | Statement: [Udaipur City railway station, connectsTo, Ajmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ajmer
Context triple: [Udaipur City railway station, connectsTo, Ajmer]
  • A. Bikaner
    Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
  • B. Jodhpur
    Jodhpur is a historic city in the Indian state of Rajasthan, renowned for its blue-painted old town, imposing Mehrangarh Fort, and role as a major cultural and commercial center on the edge of the Thar Desert.
  • C. Ajmer district chosen
    Ajmer district is an administrative region in the Indian state of Rajasthan, known for the pilgrimage town of Pushkar and its significant religious and cultural heritage.
  • D. Marwar
    Marwar is a historic desert region in the western part of Rajasthan, India, known for its Rajput heritage, forts, and distinctive Marwari culture and language.
  • E. Saharanpur
    Saharanpur is a city in the Indian state of Uttar Pradesh known as a commercial and transportation hub, particularly for its wood carving industry and agricultural trade.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f78a970819086beec3e4da8c49e completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f6ed57c8190a365998cd53be873 completed May 3, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:53 p.m.