Triple
T8587867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suonenjoki |
E203350
|
entity |
| Predicate | hasRegionalIdentity |
P12355
|
FINISHED |
| Object | Savo |
E678045
|
NE FINISHED |
How this triple was built (2 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: [Suonenjoki, hasRegionalIdentity, Savo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savo Context triple: [Suonenjoki, hasRegionalIdentity, Savo]
-
A.
Savo
Savo is a town in Kenya’s Central Province known as one of the region’s notable settlements.
-
B.
Savo
chosen
Savo is a historical and cultural region in eastern Finland known for its lakes, forests, and distinctive Savonian dialect and traditions.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457dc76481908ec5ee31ad72e887 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8a51db0819097ec0f70bee31539 |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:23 p.m.