Triple

T14545818
Position Surface form Disambiguated ID Type / Status
Subject Sydney–Melbourne air route E341288 entity
Predicate IATAAirportCodeOrigin P418 FINISHED
Object SYD
SYD is the IATA airport code for Sydney Kingsford Smith Airport, the primary international airport serving Sydney, Australia.
E8462 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: SYD | Statement: [Sydney–Melbourne air route, IATAAirportCodeOrigin, SYD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SYD
Context triple: [Sydney–Melbourne air route, IATAAirportCodeOrigin, SYD]
  • A. Syd
    Syd is an American singer, songwriter, producer, and founding member of the alternative R&B band The Internet, known for her smooth vocals and genre-blending sound.
  • B. Syd
    Syd is a character from the TV series "One Day at a Time," known for being Elena Alvarez's non-binary romantic partner.
  • C. Sydney
    Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
  • D. Sydney
    Sydney is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her sharp intellect and complex personal relationships within its ensemble cast.
  • E. Sydney
    Sydney is the spirited, fashionable young woman who serves as the central heroine of Louisa May Alcott’s novel "An Old-Fashioned Girl."
  • 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: SYD
Triple: [Sydney–Melbourne air route, IATAAirportCodeOrigin, SYD]
Generated description
SYD is the IATA airport code for Sydney Kingsford Smith Airport, the primary international airport serving Sydney, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SYD
Target entity description: SYD is the IATA airport code for Sydney Kingsford Smith Airport, the primary international airport serving Sydney, Australia.
  • A. Syd
    Syd is an American singer, songwriter, producer, and founding member of the alternative R&B band The Internet, known for her smooth vocals and genre-blending sound.
  • B. Syd
    Syd is a character from the TV series "One Day at a Time," known for being Elena Alvarez's non-binary romantic partner.
  • C. Sydney
    Sydney is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her sharp intellect and complex personal relationships within its ensemble cast.
  • D. Sydney chosen
    Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
  • E. Sydney
    Sydney is the spirited, fashionable young woman who serves as the central heroine of Louisa May Alcott’s novel "An Old-Fashioned Girl."
  • F. None of above.

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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bfc2b48190adb0897682c26a9a completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a60f2f88190b08fdf0a3095d0a7 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7d80d358819095661dac316ff69f completed May 8, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd7e0a30188190942ff45e0f865490 completed May 8, 2026, 6:09 a.m.
Created at: April 10, 2026, 1:22 a.m.