Triple

T7307473
Position Surface form Disambiguated ID Type / Status
Subject Agnibeena E168009 entity
Predicate containsPoem P21160 FINISHED
Object Dhumketu
Dhumketu is a poem featured in Kazi Nazrul Islam’s influential Bengali poetry collection "Agnibeena."
 E655879 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: Dhumketu | Statement: [Agnibeena, containsPoem, Dhumketu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dhumketu
Context triple: [Agnibeena, containsPoem, Dhumketu]
  • A. Maheshtala
    Maheshtala is a suburban city near Kolkata in West Bengal, India, known for its rapidly growing residential areas and emerging industrial and commercial development.
  • B. Kamtok
    Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
  • C. Dasu
    Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
  • D. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • E. Taumarunui
    Taumarunui is a rural service town in New Zealand’s central North Island, known as a gateway to the Whanganui River and nearby national parks.
  • 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: Dhumketu
Triple: [Agnibeena, containsPoem, Dhumketu]
Generated description
Dhumketu is a poem featured in Kazi Nazrul Islam’s influential Bengali poetry collection "Agnibeena."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dhumketu
Target entity description: Dhumketu is a poem featured in Kazi Nazrul Islam’s influential Bengali poetry collection "Agnibeena."
  • A. Maheshtala
    Maheshtala is a suburban city near Kolkata in West Bengal, India, known for its rapidly growing residential areas and emerging industrial and commercial development.
  • B. Kamtok
    Kamtok is an English-based creole widely used as a lingua franca across Cameroon in informal communication, trade, and popular culture.
  • C. Dasu
    Dasu is a town in Pakistan that serves as the administrative headquarters of Upper Kohistan District in the Hazara region of Khyber Pakhtunkhwa.
  • D. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • E. Taumarunui
    Taumarunui is a rural service town in New Zealand’s central North Island, known as a gateway to the Whanganui River and nearby national parks.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd95bd48190865716e7565f45e6 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56443b08190aee2c26633cdcbed completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e97659a08190a548beda4d7d6d9f completed March 28, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69c7ea1847008190aae44d6eb9f572d4 completed March 28, 2026, 2:47 p.m.
Created at: March 27, 2026, 3:01 p.m.