Triple
T16198658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Phalo Airport |
E393137
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
FAEL
FAEL is the ICAO airport code for King Phalo Airport in East London, South Africa.
|
E1198610
|
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: FAEL | Statement: [King Phalo Airport, ICAOcode, FAEL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAEL Context triple: [King Phalo Airport, ICAOcode, FAEL]
-
A.
FAE
FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
-
B.
FAE
FAE is the acronym for the Ecuadorian Air Force, the aerial warfare branch of Ecuador’s military responsible for defending the nation’s airspace.
-
C.
FALE
FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
-
D.
FAES
FAES is the acronym for the Armed Forces of El Salvador, the country's unified military institution responsible for national defense and security.
-
E.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in 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: FAEL Triple: [King Phalo Airport, ICAOcode, FAEL]
Generated description
FAEL is the ICAO airport code for King Phalo Airport in East London, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAEL Target entity description: FAEL is the ICAO airport code for King Phalo Airport in East London, South Africa.
-
A.
FAE
FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
-
B.
FAE
FAE is the acronym for the Ecuadorian Air Force, the aerial warfare branch of Ecuador’s military responsible for defending the nation’s airspace.
-
C.
FALE
FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
-
D.
FAES
FAES is the acronym for the Armed Forces of El Salvador, the country's unified military institution responsible for national defense and security.
-
E.
FALA
FALA is the ICAO airport code for Lanseria International Airport, a major privately owned international airport serving the Johannesburg region in 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dc6b1c8190a3d8a6451ed8b95a |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff1107908190afda091b53317d81 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a00014d982881908dcb9a0abd75a1e2 |
completed | May 10, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00021e42ec8190af9869b7f8be3ce5 |
completed | May 10, 2026, 3:57 a.m. |
Created at: April 10, 2026, 5:03 a.m.