Triple
T4631576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkhangelsk |
E101428
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Talagi Airport
Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
|
E466429
|
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: Talagi Airport | Statement: [Arkhangelsk, hasAirport, Talagi Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talagi Airport Context triple: [Arkhangelsk, hasAirport, Talagi Airport]
-
A.
Tambolaka Airport
Tambolaka Airport is a regional airport serving the western part of Sumba Island in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
-
B.
Savusavu Airport
Savusavu Airport is a small domestic airport serving the town of Savusavu on the Fijian island of Vanua Levu.
-
C.
Butaritari Airport
Butaritari Airport is a small public airfield serving the island of Butaritari in Kiribati, providing vital domestic air connections for the local population.
-
D.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
E.
Labasa Airport
Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
- 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: Talagi Airport Triple: [Arkhangelsk, hasAirport, Talagi Airport]
Generated description
Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Talagi Airport Target entity description: Talagi Airport is the main commercial airport serving the city of Arkhangelsk in northwestern Russia.
-
A.
Tambolaka Airport
Tambolaka Airport is a regional airport serving the western part of Sumba Island in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
-
B.
Savusavu Airport
Savusavu Airport is a small domestic airport serving the town of Savusavu on the Fijian island of Vanua Levu.
-
C.
Butaritari Airport
Butaritari Airport is a small public airfield serving the island of Butaritari in Kiribati, providing vital domestic air connections for the local population.
-
D.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
E.
Labasa Airport
Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a32d6408190962e60b9bce7560d |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39a767d481908cde49a3ca61c3ac |
completed | March 21, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69be3adc766c8190ae5cbe5be14b720a |
completed | March 21, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3b645aac8190a6765f0679dd3735 |
completed | March 21, 2026, 6:32 a.m. |
Created at: March 20, 2026, 1:13 p.m.