Triple
T15919926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seward's Folly |
E386064
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object |
Walrussia
Walrussia is a humorous nickname for Alaska, referencing its purchase from Russia in what was derisively called "Seward's Folly."
|
E1184986
|
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: Walrussia | Statement: [Seward's Folly, hasAlternateName, Walrussia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walrussia Context triple: [Seward's Folly, hasAlternateName, Walrussia]
-
A.
Nordavia
Nordavia was a Russian regional airline that rebranded as Smartavia, operating domestic and some international routes primarily from northern Russia.
-
B.
Friezland
Friezland is a small village in the civil parish of Saddleworth, within the Metropolitan Borough of Oldham in Greater Manchester, England.
-
C.
Ostland
Ostland was a historical region in Eastern Europe that roughly encompassed the Baltic states and parts of western Belarus.
-
D.
Zemshchina
Zemshchina was the portion of Muscovy’s territory and population left under traditional administration during Ivan the Terrible’s reign, contrasting with the tsar’s personally controlled Oprichnina.
-
E.
Kubinka
Kubinka is a town in Moscow Oblast, Russia, best known for its large military airbase and the renowned Kubinka Tank Museum.
- 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: Walrussia Triple: [Seward's Folly, hasAlternateName, Walrussia]
Generated description
Walrussia is a humorous nickname for Alaska, referencing its purchase from Russia in what was derisively called "Seward's Folly."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walrussia Target entity description: Walrussia is a humorous nickname for Alaska, referencing its purchase from Russia in what was derisively called "Seward's Folly."
-
A.
Nordavia
Nordavia was a Russian regional airline that rebranded as Smartavia, operating domestic and some international routes primarily from northern Russia.
-
B.
Friezland
Friezland is a small village in the civil parish of Saddleworth, within the Metropolitan Borough of Oldham in Greater Manchester, England.
-
C.
Ostland
Ostland was a historical region in Eastern Europe that roughly encompassed the Baltic states and parts of western Belarus.
-
D.
Zemshchina
Zemshchina was the portion of Muscovy’s territory and population left under traditional administration during Ivan the Terrible’s reign, contrasting with the tsar’s personally controlled Oprichnina.
-
E.
Kubinka
Kubinka is a town in Moscow Oblast, Russia, best known for its large military airbase and the renowned Kubinka Tank Museum.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15680c7b881909150f8b53bc058d4 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a79b808190850fa9d327f7ef72 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb677927c8190bd45e7bae5fcf1ed |
completed | May 9, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7468fb88190a56cf1df5bd20f63 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.