Triple
T12792170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrskylä |
E305794
|
entity |
| Predicate | locatedInGeographicalRegion |
P40
|
FINISHED |
| Object | Nyland |
E209603
|
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: Nyland | Statement: [Myrskylä, locatedInGeographicalRegion, Nyland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyland Context triple: [Myrskylä, locatedInGeographicalRegion, Nyland]
-
A.
Nyland
chosen
Nyland is the historical Swedish name for the coastal region of southern Finland now known as Uusimaa.
-
B.
Mykland
Mykland is a small village in Agder county, Norway, known for its rural setting and surrounding forests and lakes.
-
C.
Leeland
Leeland is a contemporary Christian worship band known for its melodic rock sound and spiritually themed lyrics.
-
D.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
-
E.
Arland
Arland is a masculine given name most notably borne by Arland D. Williams Jr., a U.S. bank examiner remembered for his heroism during the 1982 Air Florida Flight 90 crash.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850ac1808190a9b547d934252d10 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.