Triple

T7640347
Position Surface form Disambiguated ID Type / Status
Subject মাইকেল মধুসূদন দত্ত E172983 entity
Predicate residence P75 FINISHED
Object মাদ্রাজ
মাদ্রাজ, বর্তমানে চেন্নাই নামে পরিচিত, ভারতের তামিলনাড়ু রাজ্যের উপকূলীয় একটি ঐতিহাসিক মহানগরী ও গুরুত্বপূর্ণ সাংস্কৃতিক-শিক্ষাকেন্দ্র।
 E677835 NE FINISHED

How this triple was built (4 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: মাদ্রাজ | Statement: [মাইকেল মধুসূদন দত্ত, residence, মাদ্রাজ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: মাদ্রাজ
Context triple: [মাইকেল মধুসূদন দত্ত, residence, মাদ্রাজ]
  • A. Ouadhia
    Ouadhia is a town and commune located in northern Algeria within the Kabylie region.
  • B. Khaleja
    Khaleja is a 2010 Telugu-language action-comedy film starring Mahesh Babu and Anushka Shetty, known for its blend of humor, fantasy elements, and social commentary.
  • C. Malwa
    Malwa is a historical region in central India, known for its fertile plateau, strategic location, and significant role in medieval and early modern Indian politics and culture.
  • D. Khairabadi
    Khairabadi is a South Asian surname most notably associated with the prominent Islamic scholar and poet Fazl-e-Haq Khairabadi and his descendants.
  • E. Masri
    Masri is a widely spoken modern Arabic dialect used primarily in Egypt, especially in everyday conversation and popular media.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: মাদ্রাজ
Triple: [মাইকেল মধুসূদন দত্ত, residence, মাদ্রাজ]
Generated description
মাদ্রাজ, বর্তমানে চেন্নাই নামে পরিচিত, ভারতের তামিলনাড়ু রাজ্যের উপকূলীয় একটি ঐতিহাসিক মহানগরী ও গুরুত্বপূর্ণ সাংস্কৃতিক-শিক্ষাকেন্দ্র।
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: মাদ্রাজ
Target entity description: মাদ্রাজ, বর্তমানে চেন্নাই নামে পরিচিত, ভারতের তামিলনাড়ু রাজ্যের উপকূলীয় একটি ঐতিহাসিক মহানগরী ও গুরুত্বপূর্ণ সাংস্কৃতিক-শিক্ষাকেন্দ্র।
  • A. Ouadhia
    Ouadhia is a town and commune located in northern Algeria within the Kabylie region.
  • B. Khaleja
    Khaleja is a 2010 Telugu-language action-comedy film starring Mahesh Babu and Anushka Shetty, known for its blend of humor, fantasy elements, and social commentary.
  • C. Malwa
    Malwa is a historical region in central India, known for its fertile plateau, strategic location, and significant role in medieval and early modern Indian politics and culture.
  • D. Khairabadi
    Khairabadi is a South Asian surname most notably associated with the prominent Islamic scholar and poet Fazl-e-Haq Khairabadi and his descendants.
  • E. Masri
    Masri is a widely spoken modern Arabic dialect used primarily in Egypt, especially in everyday conversation and popular media.
  • F. None of above. chosen

Provenance (5 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facd9dec8190ab3af9cdde9992e6 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870cd11648190b9aeedadb7bc1981 completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c872a531e08190b7488f576dcd7de4 completed March 29, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_69c873846a188190a3a1cc56ac247fb0 completed March 29, 2026, 12:34 a.m.
Created at: March 27, 2026, 3:57 p.m.