Triple
T11457638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamid Karzai International Airport |
E271570
|
entity |
| Predicate | servesAsHubFor |
P423
|
FINISHED |
| Object |
Kam Air
Kam Air is a privately owned Afghan airline based in Kabul that operates domestic and international passenger flights.
|
E927747
|
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: Kam Air | Statement: [Hamid Karzai International Airport, servesAsHubFor, Kam Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kam Air Context triple: [Hamid Karzai International Airport, servesAsHubFor, Kam Air]
-
A.
Alia Airlines
Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
-
B.
Meraj Airlines
Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
-
C.
Arik Air
Arik Air is a Nigerian airline that operates domestic, regional, and international flights, and is one of the country’s major carriers.
-
D.
Kish Air
Kish Air is an Iranian airline that operates domestic and regional flights, particularly serving routes to and from the resort island of Kish in the Persian Gulf.
-
E.
Badr Airlines
Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
- 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: Kam Air Triple: [Hamid Karzai International Airport, servesAsHubFor, Kam Air]
Generated description
Kam Air is a privately owned Afghan airline based in Kabul that operates domestic and international passenger flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kam Air Target entity description: Kam Air is a privately owned Afghan airline based in Kabul that operates domestic and international passenger flights.
-
A.
Alia Airlines
Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
-
B.
Meraj Airlines
Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
-
C.
Arik Air
Arik Air is a Nigerian airline that operates domestic, regional, and international flights, and is one of the country’s major carriers.
-
D.
Kish Air
Kish Air is an Iranian airline that operates domestic and regional flights, particularly serving routes to and from the resort island of Kish in the Persian Gulf.
-
E.
Badr Airlines
Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c71b1208190be1d5623d18e0222 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e903781881908e96c66ecfca2911 |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5f1593c2c8190885f80ad5eeba3ec |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f87bbd988190ac388a3c34b2e95a |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.