Triple
T5718574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magadan Airport |
E126081
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object |
Sokol
Sokol is a small settlement in Russia’s Magadan Oblast that serves as the community adjacent to and associated with Magadan Airport.
|
E541291
|
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: Sokol | Statement: [Magadan Airport, nearSettlement, Sokol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sokol Context triple: [Magadan Airport, nearSettlement, Sokol]
-
A.
Sokol
Sokol is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Sokol District in the north of the city.
-
B.
Sokol
Sokol is a town in Russia known as an industrial and administrative center within Vologda Oblast.
-
C.
Sokol Kiev
Sokol Kiev was an ice hockey club from Kyiv that competed at the top level of Soviet hockey in the Soviet Championship League.
-
D.
Sokolka
Sokolka is a town in present-day northeastern Poland, historically part of the Grodno region, known for its multicultural heritage and role as a local administrative and trade center.
-
E.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
- 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: Sokol Triple: [Magadan Airport, nearSettlement, Sokol]
Generated description
Sokol is a small settlement in Russia’s Magadan Oblast that serves as the community adjacent to and associated with Magadan Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sokol Target entity description: Sokol is a small settlement in Russia’s Magadan Oblast that serves as the community adjacent to and associated with Magadan Airport.
-
A.
Sokol
Sokol is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Sokol District in the north of the city.
-
B.
Sokol
Sokol is a town in Russia known as an industrial and administrative center within Vologda Oblast.
-
C.
Sokol Kiev
Sokol Kiev was an ice hockey club from Kyiv that competed at the top level of Soviet hockey in the Soviet Championship League.
-
D.
Sokolka
Sokolka is a town in present-day northeastern Poland, historically part of the Grodno region, known for its multicultural heritage and role as a local administrative and trade center.
-
E.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024e084cc81909a652f7c10d32c32 |
completed | March 22, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a7af5788190827ff8050eb6416d |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05c75179c819085bf56340363b48c |
completed | March 22, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d2ef9488190ac0111cb6a94b1d0 |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:46 p.m.