Triple
T13099649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimberley Airport |
E310684
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
FAKM
FAKM is the ICAO airport code assigned to Kimberley Airport in South Africa.
|
E1020245
|
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: FAKM | Statement: [Kimberley Airport, ICAOcode, FAKM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAKM Context triple: [Kimberley Airport, ICAOcode, FAKM]
-
A.
FANK
FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
-
B.
FAZ
FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
-
C.
FAWK
FAWK is the ICAO airport code for Air Force Base Waterkloof, a major South African Air Force installation near Pretoria.
-
D.
FAY
FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
-
E.
FAJ
FAJ is the commonly used abbreviation for the Cariduros de Fajardo, a professional basketball team based in Fajardo, Puerto Rico.
- 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: FAKM Triple: [Kimberley Airport, ICAOcode, FAKM]
Generated description
FAKM is the ICAO airport code assigned to Kimberley Airport in South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAKM Target entity description: FAKM is the ICAO airport code assigned to Kimberley Airport in South Africa.
-
A.
FANK
FANK was the acronym for the Khmer National Armed Forces, the military of the pro-U.S. Lon Nol government in Cambodia during the Cambodian Civil War.
-
B.
FAZ
FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
-
C.
FAWK
FAWK is the ICAO airport code for Air Force Base Waterkloof, a major South African Air Force installation near Pretoria.
-
D.
FAY
FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
-
E.
FAJ
FAJ is the commonly used abbreviation for the Cariduros de Fajardo, a professional basketball team based in Fajardo, Puerto Rico.
- 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.