Triple

T4166584
Position Surface form Disambiguated ID Type / Status
Subject Bengali Muslims E84460 entity
Predicate historicalCenter P2536 FINISHED
Object Pandua E191146 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: Pandua | Statement: [Bengali Muslims, historicalCenter, Pandua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandua
Context triple: [Bengali Muslims, historicalCenter, Pandua]
  • A. Pandua chosen
    Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
  • B. Mahoba
    Mahoba is a historic town in Uttar Pradesh, India, renowned for its role as a prominent center of power and culture in the Bundelkhand region, especially under the Chandela rulers.
  • C. Naihati
    Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
  • D. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Arughat
    Arughat is a village in Nepal that serves as a common gateway and starting point for treks to the Manaslu region in the Himalayas.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02ac8e788190a8f3563a2903bbad completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4a022c819092b5489aa47f430c completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.