Triple
T9460377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lashkargah |
E228128
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Bost Airport
Bost Airport is a regional airport serving the city of Lashkargah in Helmand Province, Afghanistan.
|
E801160
|
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: Bost Airport | Statement: [Lashkargah, hasAirport, Bost Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bost Airport Context triple: [Lashkargah, hasAirport, Bost Airport]
-
A.
Landvetter Airport
Landvetter Airport is an international airport serving the Gothenburg region in western Sweden and is one of the country’s major aviation hubs.
-
B.
Bojnord Airport
Bojnord Airport is a regional public airport serving the city of Bojnord and the surrounding area in northeastern Iran.
-
C.
Spilve Airport
Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
-
D.
Hans Christian Andersen Airport
Hans Christian Andersen Airport is a regional airport serving the city of Odense on the island of Funen in Denmark.
-
E.
Alta Airport
Alta Airport is a regional airport in Alta, Norway, serving as an important air transport hub for the Finnmark region.
- 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: Bost Airport Triple: [Lashkargah, hasAirport, Bost Airport]
Generated description
Bost Airport is a regional airport serving the city of Lashkargah in Helmand Province, Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bost Airport Target entity description: Bost Airport is a regional airport serving the city of Lashkargah in Helmand Province, Afghanistan.
-
A.
Landvetter Airport
Landvetter Airport is an international airport serving the Gothenburg region in western Sweden and is one of the country’s major aviation hubs.
-
B.
Bojnord Airport
Bojnord Airport is a regional public airport serving the city of Bojnord and the surrounding area in northeastern Iran.
-
C.
Spilve Airport
Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
-
D.
Hans Christian Andersen Airport
Hans Christian Andersen Airport is a regional airport serving the city of Odense on the island of Funen in Denmark.
-
E.
Alta Airport
Alta Airport is a regional airport in Alta, Norway, serving as an important air transport hub for the Finnmark region.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcaf610819092bcd3b871665aa5 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122965aa48190bb35202b8dd0fdbd |
completed | April 4, 2026, 2:39 p.m. |
| NEDg | Description generation | batch_69d12474e91c8190b3f127a44fb0f345 |
completed | April 4, 2026, 2:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12521921881909fa14b99c6dd5158 |
completed | April 4, 2026, 2:50 p.m. |
Created at: March 30, 2026, 7:52 p.m.