Triple

T1436768
Position Surface form Disambiguated ID Type / Status
Subject West Bengal E30575 entity
Predicate contains P35 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: [West Bengal, contains, Murshidabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murshidabad
Context triple: [West Bengal, contains, 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. 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.
  • E. Jahangir Nagar
    Jahangir Nagar is the former Mughal-era name of present-day Dhaka, given in honor of the emperor Jahangir.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c50418d08190ace2cab98af87f29 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeabbc9588190880996e549b8bd7a completed March 8, 2026, 9:31 p.m.
Created at: March 1, 2026, 8 p.m.