Triple
T7285515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lüderitz Airport |
E163855
|
entity |
| Predicate | icaoCode |
P419
|
FINISHED |
| Object |
FYLU
FYLU is the ICAO airport code assigned to Lüderitz Airport in Namibia.
|
E653383
|
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: FYLU | Statement: [Lüderitz Airport, icaoCode, FYLU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FYLU Context triple: [Lüderitz Airport, icaoCode, FYLU]
-
A.
FLN
FLN is an Algerian nationalist political organization and former revolutionary movement that led the struggle for Algeria’s independence from French colonial rule.
-
B.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
-
C.
FLK
FLK is the ISO 3166-1 alpha-3 country code for the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
-
D.
Flo
Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
-
E.
Flo
Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
- 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: FYLU Triple: [Lüderitz Airport, icaoCode, FYLU]
Generated description
FYLU is the ICAO airport code assigned to Lüderitz Airport in Namibia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FYLU Target entity description: FYLU is the ICAO airport code assigned to Lüderitz Airport in Namibia.
-
A.
FLN
FLN is an Algerian nationalist political organization and former revolutionary movement that led the struggle for Algeria’s independence from French colonial rule.
-
B.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in South Africa.
-
C.
FLK
FLK is the ISO 3166-1 alpha-3 country code for the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
-
D.
Flo
Flo is a supporting character in Pixar's "Cars" franchise, known as the stylish turquoise show car who runs Flo's V8 Café in Radiator Springs.
-
E.
Flo
Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb51a8bc8190a3e1ec09ee1aeb38 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3e1fd081908457b8202c43f64f |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dc3dd6f88190bf82d22b2cb506a4 |
completed | March 28, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc951d88819098c6053ddd2e981b |
completed | March 28, 2026, 1:50 p.m. |
Created at: March 27, 2026, 2:59 p.m.