Triple
T15252921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanko |
E364563
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Uusimaa region |
E41667
|
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: Uusimaa region | Statement: [Hanko, locatedIn, Uusimaa region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uusimaa region Context triple: [Hanko, locatedIn, Uusimaa region]
-
A.
Uusimaa
chosen
Uusimaa is a coastal region in southern Finland that includes the capital Helsinki and is known for its significant Swedish-speaking population and economic importance.
-
B.
Pirkanmaa region
Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
-
C.
Turku region
The Turku region is a southwestern coastal area of Finland centered on the city of Turku, known as a major historical, cultural, and economic hub with important transport connections.
-
D.
Kainuu region
Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
-
E.
Hämeenlinna region
The Hämeenlinna region is an area in southern Finland centered on the historic city of Hämeenlinna, known for its cultural institutions, medieval castle, and lakeside landscapes.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f728648190b2c86e4528542b65 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f24967c8190b0bdb84b88a0aaa3 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 10, 2026, 3:13 a.m.