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.