Triple

T6734373
Position Surface form Disambiguated ID Type / Status
Subject Da Nang International Airport E153715 entity
Predicate IATAcode P418 FINISHED
Object DAD
DAD is the IATA airport code for Da Nang International Airport, a major commercial airport serving Da Nang and central Vietnam.
E615155 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: DAD | Statement: [Da Nang International Airport, IATAcode, DAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAD
Context triple: [Da Nang International Airport, IATAcode, DAD]
  • A. Dad
    Dad is a character from the British animated children's television series "Dot.," serving as the supportive and caring father of the show's young protagonist.
  • B. Dadzie
    Dadzie is a Ghanaian surname commonly borne by individuals of Ga or Fante heritage.
  • C. Ayah
    Ayah is the given name of Princess Ayah bint Faisal, a member of the Jordanian royal family.
  • D. Daddy-O
    Daddy-O is an American rapper and producer best known as a founding member of the influential hip hop group Stetsasonic.
  • E. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • 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: DAD
Triple: [Da Nang International Airport, IATAcode, DAD]
Generated description
DAD is the IATA airport code for Da Nang International Airport, a major commercial airport serving Da Nang and central Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DAD
Target entity description: DAD is the IATA airport code for Da Nang International Airport, a major commercial airport serving Da Nang and central Vietnam.
  • A. Dad
    Dad is a character from the British animated children's television series "Dot.," serving as the supportive and caring father of the show's young protagonist.
  • B. Dadzie
    Dadzie is a Ghanaian surname commonly borne by individuals of Ga or Fante heritage.
  • C. Ayah
    Ayah is the given name of Princess Ayah bint Faisal, a member of the Jordanian royal family.
  • D. Daddy-O
    Daddy-O is an American rapper and producer best known as a founding member of the influential hip hop group Stetsasonic.
  • E. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16d51dc8190869167d86e8f081f completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0703288190906cfcaba9d9c85a completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bffe7b48190bbe217bc9fbb08ab completed March 27, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69c70c84de7081908d86c6f710410443 completed March 27, 2026, 11:02 p.m.
Created at: March 27, 2026, 2:09 p.m.