Triple
T23286255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Archaeological Museum Sanna |
E588994
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sanna |
—
|
NE NERFINISHED |
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: Sanna | Statement: [National Archaeological Museum Sanna, namedAfter, Sanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanna Context triple: [National Archaeological Museum Sanna, namedAfter, Sanna]
-
A.
Sanna
Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
-
B.
Sanna
chosen
Sanna is a feminine given name commonly used as a short form of Susanna in various European countries.
-
C.
Aino
Aino is a tragic maiden from Finnish mythology and the national epic Kalevala, known for her ill-fated encounter with the sage Väinämöinen and her subsequent transformation into a water spirit.
-
D.
Sakari
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
-
E.
Aino Jawo
Aino Jawo is a Swedish singer and one half of the electro-pop duo Icona Pop, known for global hits like "I Love It."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19647178c8190bbca5da38472ce05 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:59 p.m.