Triple

T15781230
Position Surface form Disambiguated ID Type / Status
Subject Sultan Daniyal Mirza E382619 entity
Predicate deathPlace P21 FINISHED
Object Burhanpur, Deccan E114025 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: Burhanpur, Deccan | Statement: [Sultan Daniyal Mirza, deathPlace, Burhanpur, Deccan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burhanpur, Deccan
Context triple: [Sultan Daniyal Mirza, deathPlace, Burhanpur, Deccan]
  • A. Burdwan, Deccan
    Burdwan, Deccan refers to a historical locality in the Deccan region of India associated with Mughal-era events, including the death of Empress Mumtaz Mahal.
  • B. Burhanpur chosen
    Burhanpur is a historic city in central India known for its Mughal-era architecture and strategic location on the banks of the Tapti River.
  • C. 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.
  • D. Madhepur
    Madhepur is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Aurangabad
    Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a2476c8190a153fb47cb4e7708 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.