Triple

T26225556
Position Surface form Disambiguated ID Type / Status
Subject Kheyaparer Tarani E655880 entity
Predicate titleInBengali P76566 FINISHED
Object খেয়াপারের তরাণী
খেয়াপারের তরাণী একটি বাংলা সাহিত্যকর্ম, যা মানবজীবনের সংগ্রাম, আশা ও পারাপারের প্রতীকী অভিজ্ঞতাকে কেন্দ্র করে রচিত।
 E1715803 NE FINISHED

How this triple was built (3 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: খেয়াপারের তরাণী | Statement: [Kheyaparer Tarani, titleInBengali, খেয়াপারের তরাণী]
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: খেয়াপারের তরাণী
Triple: [Kheyaparer Tarani, titleInBengali, খেয়াপারের তরাণী]
Generated description
খেয়াপারের তরাণী একটি বাংলা সাহিত্যকর্ম, যা মানবজীবনের সংগ্রাম, আশা ও পারাপারের প্রতীকী অভিজ্ঞতাকে কেন্দ্র করে রচিত।
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: titleInBengali
Context triple: [Kheyaparer Tarani, titleInBengali, খেয়াপারের তরাণী]
  • A. titleInBengaliScript chosen
    Indicates that the title of an entity is written or represented in the Bengali script.
  • B. titleInOdiaScript
    Indicates that the title of an entity is expressed or recorded in the Odia (Oriya) script.
  • C. titleInKannadaScript
    Indicates that the title of an entity is written or represented in the Kannada script.
  • D. titleInSanskritScript
    Indicates that the title of an entity is expressed using the Sanskrit writing system.
  • E. titleInTamilScript
    Indicates that the title of an entity is expressed or recorded in the Tamil script.
  • F. None of above.

Provenance (6 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_69ee5b4a77e08190bfcb5f8ecdc55abd completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a118594aac08190af23b70cbec0aff6 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861f5bd08190873109d86ffaca0a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186f95c8c8190ab60afefe537a971 completed May 23, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69f6f969b4cc8190afb473a2d8b110bc completed May 3, 2026, 7:29 a.m.
Created at: April 26, 2026, 8:57 p.m.