Triple

T7351930
Position Surface form Disambiguated ID Type / Status
Subject Al Mahmud E169521 entity
Predicate notableWork P4 FINISHED
Object Pankouri
Pankouri is a notable literary work by the acclaimed Bangladeshi poet Al Mahmud.
E659100 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: Pankouri | Statement: [Al Mahmud, notableWork, Pankouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pankouri
Context triple: [Al Mahmud, notableWork, Pankouri]
  • A. Pserimos
    Pserimos is a small Greek island in the southeastern Aegean Sea, known for its quiet beaches and traditional village life.
  • B. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • C. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • D. Pitis
    Pitis is a Madrid Metro station in the northern part of the city that serves as a key suburban access point and interchange with commuter rail services.
  • E. Pachnes
    Pachnes is one of the highest mountain peaks in Crete, Greece, located in the rugged White Mountains range.
  • 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: Pankouri
Triple: [Al Mahmud, notableWork, Pankouri]
Generated description
Pankouri is a notable literary work by the acclaimed Bangladeshi poet Al Mahmud.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pankouri
Target entity description: Pankouri is a notable literary work by the acclaimed Bangladeshi poet Al Mahmud.
  • A. Pserimos
    Pserimos is a small Greek island in the southeastern Aegean Sea, known for its quiet beaches and traditional village life.
  • B. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • C. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • D. Pitis
    Pitis is a Madrid Metro station in the northern part of the city that serves as a key suburban access point and interchange with commuter rail services.
  • E. Pachnes
    Pachnes is one of the highest mountain peaks in Crete, Greece, located in the rugged White Mountains range.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10b4adc81909a5a0eacaf2b1887 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa99a9148190b67e49c8c8674042 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbbff6f081909b694dea7e572ec2 completed March 28, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_69c7fc2f66248190bac3fa24d530b938 completed March 28, 2026, 4:05 p.m.
Created at: March 27, 2026, 3:05 p.m.