Triple
T11127774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Aqiq |
E263192
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Al Aqiq Airport
Al Aqiq Airport is a regional airport in the Al Aqiq area of Saudi Arabia that serves local air travel needs.
|
E905761
|
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: Al Aqiq Airport | Statement: [Al Aqiq, hasAirport, Al Aqiq Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Aqiq Airport Context triple: [Al Aqiq, hasAirport, Al Aqiq Airport]
-
A.
Al Aroui Airport
Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
-
B.
Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
-
C.
Sania Ramel Airport
Sania Ramel Airport is a regional airport serving the city of Tétouan in northern Morocco, providing domestic and limited international flights.
-
D.
Taif Regional Airport
Taif Regional Airport is a public airport serving the city of Taif and surrounding areas in western Saudi Arabia, handling both domestic and limited international flights.
-
E.
Ha'il Regional Airport
Ha'il Regional Airport is a public airport serving the city of Ha'il and its surrounding region in northwestern Saudi Arabia, handling domestic flights and regional air traffic.
- 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: Al Aqiq Airport Triple: [Al Aqiq, hasAirport, Al Aqiq Airport]
Generated description
Al Aqiq Airport is a regional airport in the Al Aqiq area of Saudi Arabia that serves local air travel needs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Aqiq Airport Target entity description: Al Aqiq Airport is a regional airport in the Al Aqiq area of Saudi Arabia that serves local air travel needs.
-
A.
Al Aroui Airport
Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
-
B.
Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
-
C.
Sania Ramel Airport
Sania Ramel Airport is a regional airport serving the city of Tétouan in northern Morocco, providing domestic and limited international flights.
-
D.
Taif Regional Airport
Taif Regional Airport is a public airport serving the city of Taif and surrounding areas in western Saudi Arabia, handling both domestic and limited international flights.
-
E.
Ha'il Regional Airport
Ha'il Regional Airport is a public airport serving the city of Ha'il and its surrounding region in northwestern Saudi Arabia, handling domestic flights and regional air traffic.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e830e804819097fcc3826d84dab8 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8b3ce4819082f9efcf8dec4f1a |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e42f3eaa0c819095e5af20b910d979 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4377d20ac8190b0bb810d4159ac4d |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.