Triple
T7635723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savonians |
E172873
|
entity |
| Predicate | primaryRegion |
P1103
|
FINISHED |
| Object |
Savo
Savo is a historical and cultural region in eastern Finland known for its lakes, forests, and distinctive Savonian dialect and traditions.
|
E678045
|
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: Savo | Statement: [Savonians, primaryRegion, Savo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savo Context triple: [Savonians, primaryRegion, Savo]
-
A.
Savo
Savo is a town in Kenya’s Central Province known as one of the region’s notable settlements.
-
B.
Samoggia
Samoggia is a river in the Emilia-Romagna region of northern Italy that flows through the provinces of Bologna and Modena before joining the Panaro.
-
C.
Fiumelatte
Fiumelatte is a small Italian village on Lake Como known for its short, seasonally flowing “milk-colored” river, considered one of the shortest rivers in Italy.
-
D.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
E.
Savo Sound
Savo Sound is an area of ocean off Guadalcanal in the Solomon Islands that became infamous as a major naval battleground during World War II.
- 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: Savo Triple: [Savonians, primaryRegion, Savo]
Generated description
Savo is a historical and cultural region in eastern Finland known for its lakes, forests, and distinctive Savonian dialect and traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Savo Target entity description: Savo is a historical and cultural region in eastern Finland known for its lakes, forests, and distinctive Savonian dialect and traditions.
-
A.
Savo
Savo is a town in Kenya’s Central Province known as one of the region’s notable settlements.
-
B.
Samoggia
Samoggia is a river in the Emilia-Romagna region of northern Italy that flows through the provinces of Bologna and Modena before joining the Panaro.
-
C.
Fiumelatte
Fiumelatte is a small Italian village on Lake Como known for its short, seasonally flowing “milk-colored” river, considered one of the shortest rivers in Italy.
-
D.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
E.
Savo Sound
Savo Sound is an area of ocean off Guadalcanal in the Solomon Islands that became infamous as a major naval battleground during World War II.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa95e488190962c23609e0890a5 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870c33ce081908df916d769fa84be |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c871e18b188190adeeca26c4808ed5 |
completed | March 29, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c872edf39c8190acc70d998df2b192 |
completed | March 29, 2026, 12:31 a.m. |
Created at: March 27, 2026, 3:57 p.m.