Triple

T3162670
Position Surface form Disambiguated ID Type / Status
Subject Najafi dynasty E66136 entity
Predicate capital P234 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: [Najafi dynasty, capital, Murshidabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murshidabad
Context triple: [Najafi dynasty, capital, 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. 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.
  • C. 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.
  • D. Mohiuddinnagar
    Mohiuddinnagar is a town in the Indian state of Bihar, situated within the Samastipur district.
  • E. Chandannagar
    Chandannagar is a former French colonial town in West Bengal, India, known for its historic riverside architecture and cultural blend of French and Bengali influences.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada618b9b88190afaa6d47dcad9f2c completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261fd69dc8190a6005d1af2d12a11 completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:06 p.m.