Triple
T16080628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galkayo Airport |
E390098
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
GLK
GLK is the IATA airport code for Galkayo Airport, which serves the city of Galkayo in central Somalia.
|
E1193112
|
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: GLK | Statement: [Galkayo Airport, IATACode, GLK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLK Context triple: [Galkayo Airport, IATACode, GLK]
-
A.
Mercedes-Benz GLK-Class
The Mercedes-Benz GLK-Class is a compact luxury SUV produced by the German automaker Mercedes-Benz, known for its boxy styling, premium interior, and all-wheel-drive capability.
-
B.
SLK
SLK is the FAA airport code for Adirondack Regional Airport, a public airport serving the Saranac Lake and Lake Placid region in New York.
-
C.
SLK
SLK is the vehicle registration code used on license plates for the town of Aschersleben in Germany.
-
D.
Mercedes-Benz GLA
The Mercedes-Benz GLA is a subcompact luxury crossover SUV that serves as the entry-level model in Mercedes-Benz’s SUV lineup.
-
E.
Mercedes-Benz GLC-Class
The Mercedes-Benz GLC-Class is a compact luxury crossover SUV known for its premium interior, advanced technology, and refined driving dynamics within the upscale SUV segment.
- 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: GLK Triple: [Galkayo Airport, IATACode, GLK]
Generated description
GLK is the IATA airport code for Galkayo Airport, which serves the city of Galkayo in central Somalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GLK Target entity description: GLK is the IATA airport code for Galkayo Airport, which serves the city of Galkayo in central Somalia.
-
A.
Mercedes-Benz GLK-Class
The Mercedes-Benz GLK-Class is a compact luxury SUV produced by the German automaker Mercedes-Benz, known for its boxy styling, premium interior, and all-wheel-drive capability.
-
B.
SLK
SLK is the FAA airport code for Adirondack Regional Airport, a public airport serving the Saranac Lake and Lake Placid region in New York.
-
C.
SLK
SLK is the vehicle registration code used on license plates for the town of Aschersleben in Germany.
-
D.
Mercedes-Benz GLA
The Mercedes-Benz GLA is a subcompact luxury crossover SUV that serves as the entry-level model in Mercedes-Benz’s SUV lineup.
-
E.
Mercedes-Benz GLC-Class
The Mercedes-Benz GLC-Class is a compact luxury crossover SUV known for its premium interior, advanced technology, and refined driving dynamics within the upscale SUV segment.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844a5c68819086a13c93a787b436 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48adec081909623355eabee472c |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe6af1c4081908b57f4dc485fbb14 |
completed | May 10, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe769d56081908f723e92d327e315 |
completed | May 10, 2026, 2:03 a.m. |
Created at: April 10, 2026, 4:57 a.m.