Triple

T13099648
Position Surface form Disambiguated ID Type / Status
Subject Kimberley Airport E310684 entity
Predicate IATAcode P418 FINISHED
Object KIM
KIM is the IATA airport code for Kimberley Airport, a regional airport serving the city of Kimberley in South Africa.
E1020244 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: KIM | Statement: [Kimberley Airport, IATAcode, KIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIM
Context triple: [Kimberley Airport, IATAcode, KIM]
  • A. Kiyanu Kim
    Kiyanu Kim is a songwriter and producer best known for co-writing Miley Cyrus's hit single "Wrecking Ball."
  • B. Chin-kim
    Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
  • C. Kim
    Kim is a classic adventure novel by Rudyard Kipling that follows an orphaned boy’s coming-of-age amid espionage and cultural crossroads in British-ruled India.
  • D. Kim
    Kim is a character in the horror film "Don't Be Afraid of the Dark," involved in the story’s supernatural and suspenseful events.
  • E. Kim
    Kim is a supporting character in the psychological horror film "It Comes at Night," involved in the tense, paranoia-driven dynamics between two families during a mysterious apocalyptic outbreak.
  • 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: KIM
Triple: [Kimberley Airport, IATAcode, KIM]
Generated description
KIM is the IATA airport code for Kimberley Airport, a regional airport serving the city of Kimberley in South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KIM
Target entity description: KIM is the IATA airport code for Kimberley Airport, a regional airport serving the city of Kimberley in South Africa.
  • A. Kiyanu Kim
    Kiyanu Kim is a songwriter and producer best known for co-writing Miley Cyrus's hit single "Wrecking Ball."
  • B. Chin-kim
    Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
  • C. Kim
    Kim is a classic adventure novel by Rudyard Kipling that follows an orphaned boy’s coming-of-age amid espionage and cultural crossroads in British-ruled India.
  • D. Kim
    Kim is a character in the horror film "Don't Be Afraid of the Dark," involved in the story’s supernatural and suspenseful events.
  • E. Kim
    Kim is the commonly used nickname of Kim Philby, the infamous British intelligence officer who became a high-ranking Soviet double agent during the Cold War.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981500d34819097037b3c3c33627b completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61bcfe88190866b4330d1669602 completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6d98988308190b82c7e7a15428af2 completed May 3, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_69f6da5b7098819092feb7064d5e7755 completed May 3, 2026, 5:17 a.m.
Created at: April 9, 2026, 9:04 p.m.