Triple

T7121937
Position Surface form Disambiguated ID Type / Status
Subject Partition of Bengal 1947 E165968 entity
Predicate significantPlace P1098 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: [Partition of Bengal 1947, significantPlace, Murshidabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murshidabad
Context triple: [Partition of Bengal 1947, significantPlace, 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6493fd88190b0c066a2ad74917c completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8d92fec8190bd275023bdef8e08 completed March 28, 2026, 11:17 a.m.
Created at: March 27, 2026, 2:44 p.m.