Triple
T17804047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takhar Province |
E444506
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Taloqan Airport
Taloqan Airport is a small regional airport serving the city of Taloqan and surrounding areas in northeastern Afghanistan.
|
E1289204
|
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: Taloqan Airport | Statement: [Takhar Province, hasAirport, Taloqan Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taloqan Airport Context triple: [Takhar Province, hasAirport, Taloqan Airport]
-
A.
Baidoa Airport
Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
-
B.
Kohat Airport
Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
-
C.
Duqm Airport
Duqm Airport is a regional airport in Duqm, Oman, serving the emerging industrial and port city as part of the country’s infrastructure development.
-
D.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
E.
Humera Airport
Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera and its surrounding area.
- 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: Taloqan Airport Triple: [Takhar Province, hasAirport, Taloqan Airport]
Generated description
Taloqan Airport is a small regional airport serving the city of Taloqan and surrounding areas in northeastern Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taloqan Airport Target entity description: Taloqan Airport is a small regional airport serving the city of Taloqan and surrounding areas in northeastern Afghanistan.
-
A.
Baidoa Airport
Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
-
B.
Kohat Airport
Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
-
C.
Duqm Airport
Duqm Airport is a regional airport in Duqm, Oman, serving the emerging industrial and port city as part of the country’s infrastructure development.
-
D.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
E.
Humera Airport
Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera and its surrounding area.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48802bcfc8190a138164d11081ab8 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff5c66d88190a2983c1eab7b546e |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03008e910c819084c6dd079a93c335 |
completed | May 12, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300e885e481909c76dfbac2fd1009 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 10, 2026, 10:14 a.m.