Triple
T4686265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Shaka International Airport |
E103927
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
FALE
FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
|
E459943
|
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: FALE | Statement: [King Shaka International Airport, ICAOcode, FALE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FALE Context triple: [King Shaka International Airport, ICAOcode, FALE]
-
A.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
-
B.
Fala
Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
-
C.
FLE
FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
-
D.
FA
FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
-
E.
FA
FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
- 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: FALE Triple: [King Shaka International Airport, ICAOcode, FALE]
Generated description
FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FALE Target entity description: FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
-
A.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
-
B.
Fala
Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
-
C.
FLE
FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
-
D.
FA
FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
-
E.
FA
FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6383c83881908a978e471fe422a2 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b3b0208190bb307cdd53f44306 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be0440e7c881908743b7af9b2fa347 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04e21df88190b98ed7b3e27b818c |
completed | March 21, 2026, 2:39 a.m. |
Created at: March 20, 2026, 1:16 p.m.