Triple
T5794639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bram Fischer International Airport |
E128477
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
FABL
FABL is the ICAO airport code for Bram Fischer International Airport in Bloemfontein, South Africa.
|
E546553
|
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: FABL | Statement: [Bram Fischer International Airport, ICAOcode, FABL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FABL Context triple: [Bram Fischer International Airport, ICAOcode, FABL]
-
A.
FAB
FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
-
B.
FAB
FAB is the IATA airport code for Farnborough Airport, a business aviation airport in Hampshire, England.
-
C.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
-
D.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
-
E.
FALE
FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
- 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: FABL Triple: [Bram Fischer International Airport, ICAOcode, FABL]
Generated description
FABL is the ICAO airport code for Bram Fischer International Airport in Bloemfontein, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FABL Target entity description: FABL is the ICAO airport code for Bram Fischer International Airport in Bloemfontein, South Africa.
-
A.
FAB
FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
-
B.
FAB
FAB is the IATA airport code for Farnborough Airport, a business aviation airport in Hampshire, England.
-
C.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
-
D.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
-
E.
FALE
FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a91c7788190936671bf816d3772 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098286c1c8190b77cbaeda327dba4 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098a0325c81909a1326b94e40ed50 |
completed | March 23, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09943deec819085992c4e44050a34 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:51 p.m.