Triple

T25646195
Position Surface form Disambiguated ID Type / Status
Subject Kazi Nazrul Islam Airport E642972 entity
Predicate namedForCountryAssociation P17299 FINISHED
Object Bangladesh national poet LITERAL 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: Bangladesh national poet | Statement: [Kazi Nazrul Islam Airport, namedForCountryAssociation, Bangladesh national poet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: namedForCountryAssociation
Context triple: [Kazi Nazrul Islam Airport, namedForCountryAssociation, Bangladesh national poet]
  • A. namedAfterCountryAssociation
    Indicates that one entity is named after, or derives its name from, a specific country.
  • B. countryOfStrongAssociation
    Indicates a strong, notable, or primary connection between an entity and a specific country, such as origin, major activity, or significant influence.
  • C. namedForNationality chosen
    Indicates that something is named after or in reference to a particular nationality or national identity.
  • D. nationalOrRegionalAssociation
    Indicates a relationship where an entity is formally associated with, governed by, or represented through a specific national or regional organization or body.
  • E. designationCountry
    Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
  • F. None of above.

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_69e77e7ce28081908b08d65ee6e5c8be completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f600c18a14819081b5914dd3b0f9cf completed May 2, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69f5f7fba5248190945acf1561280799 completed May 2, 2026, 1:11 p.m.
Created at: April 21, 2026, 5:54 p.m.