Triple

T5083675
Position Surface form Disambiguated ID Type / Status
Subject East Bengal and Assam E114583 entity
Predicate capital P234 FINISHED
Object Dacca E26021 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: Dacca | Statement: [East Bengal and Assam, capital, Dacca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dacca
Context triple: [East Bengal and Assam, capital, Dacca]
  • A. Dhaka chosen
    Dhaka is the capital and largest city of Bangladesh, serving as the country’s political, economic, and cultural center.
  • B. Chittagong
    Chittagong is a major coastal city and Bangladesh’s principal seaport, known for its bustling maritime trade and industrial significance.
  • 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. Murshidabad
    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.
  • E. Dinapur
    Dinapur is a town in the Patna district of Bihar, India, known historically as a British cantonment and now as a suburban area of Patna.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7517af308190bab5507a9344bf68 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec360a5848190a243da780b53559c completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:39 p.m.