Triple

T13917283
Position Surface form Disambiguated ID Type / Status
Subject Jagat Seth E334654 entity
Predicate regionOfActivity P82 FINISHED
Object Murshidabad E66134 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: Murshidabad | Statement: [Jagat Seth, regionOfActivity, Murshidabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murshidabad
Context triple: [Jagat Seth, regionOfActivity, Murshidabad]
  • A. Murshidabad chosen
    Murshidabad is a historic city in West Bengal, India, that served as the capital of the Nawabs of Bengal and a major political and commercial center during the Mughal and early British periods.
  • B. Bahadurabad
    Bahadurabad is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its bustling markets, eateries, and central location within the city.
  • C. Islampur
    Islampur is a town in the Indian state of West Bengal, known as a local commercial and administrative center in the northern part of the state.
  • D. Sultanganj
    Sultanganj is a town in Bihar, India, known as a significant Hindu pilgrimage site on the banks of the Ganges River.
  • E. Sonargaon
    Sonargaon is a historic city in present-day Bangladesh that served as a major political and commercial center in medieval Bengal, renowned for its role in regional trade and Islamic culture.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de272753e48190bc609482635280ff completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69fda902c598819083c5373172ed758e completed May 8, 2026, 9:12 a.m.
Created at: April 9, 2026, 10:16 p.m.