Triple

T7957203
Position Surface form Disambiguated ID Type / Status
Subject Baharampur E184769 entity
Predicate historicalRegion P915 FINISHED
Object Murshidabad region 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 region | Statement: [Baharampur, historicalRegion, Murshidabad region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murshidabad region
Context triple: [Baharampur, historicalRegion, Murshidabad region]
  • 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. Shatkhira District
    Shatkhira District is a southwestern district of Bangladesh known for its proximity to the Sundarbans mangrove forest and its location along the border with India.
  • C. Bahadurabad
    Bahadurabad is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its bustling markets, eateries, and central location within the city.
  • D. Sultanganj
    Sultanganj is a town in Bihar, India, known as a significant Hindu pilgrimage site on the banks of the Ganges River.
  • E. Jahangirpuri
    Jahangirpuri is a residential and commercial neighborhood in North West Delhi, India, known for its dense urban character and connectivity via the Delhi Metro.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b7d36c081908cc8760a0dbf6001 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b1dca08190926823fce1c0df6f completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:11 p.m.