Triple

T23034820
Position Surface form Disambiguated ID Type / Status
Subject Zia International Airport E573565 entity
Predicate namedAfter P63 FINISHED
Object Ziaur Rahman NE NERFINISHED

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: Ziaur Rahman | Statement: [Zia International Airport, namedAfter, Ziaur Rahman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ziaur Rahman
Context triple: [Zia International Airport, namedAfter, Ziaur Rahman]
  • A. Ziaur Rahman chosen
    Ziaur Rahman was a Bangladeshi military officer and statesman who became the country’s president and a key leader in its early political history.
  • B. Sheikh Mujibur Rahman
    Sheikh Mujibur Rahman was the founding leader and first President of Bangladesh, revered as the "Father of the Nation" for his pivotal role in the country's struggle for independence.
  • C. Tajuddin Ahmad
    Tajuddin Ahmad was a prominent Bangladeshi statesman and key leader of the country's independence movement who became its first prime minister.
  • D. Abdus-Sattar
    Abdus-Sattar is a personal name, commonly used in South Asian Muslim communities, that may refer to various individuals across different fields.
  • E. Mahbub Ali
    Mahbub Ali is a resourceful Afghan horse trader and British intelligence agent who plays a key mentoring and espionage role in Rudyard Kipling’s novel "Kim."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18483e5848190977b1bdb1b83d187 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:53 p.m.