Triple
T8789129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salo, Finland |
E209115
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Muurla |
E499502
|
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: Muurla | Statement: [Salo, Finland, formedByMergerOf, Muurla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muurla Context triple: [Salo, Finland, formedByMergerOf, Muurla]
-
A.
Muurla
chosen
Muurla was a former municipality in Finland that later became part of the city of Salo.
-
B.
Pittelo
Pittelo is a residential neighborhood and district within the city of Assen in the province of Drenthe, Netherlands.
-
C.
Särkisalo
Särkisalo is a former coastal municipality in Southwest Finland, known for its archipelago landscape and later incorporation into the city of Salo.
-
D.
Poitevin
Poitevin is a Romance language and regional cultural identity from the Poitou area of western France, closely related to other langues d’oïl.
-
E.
Selke
The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8b0c108190af53d4bb9b132c5c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5210454c8190aa83d941893a4bc5 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.