Triple
T12577218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Päijät-Häme |
E300239
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sysmä |
E128764
|
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: Sysmä | Statement: [Päijät-Häme, contains, Sysmä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sysmä Context triple: [Päijät-Häme, contains, Sysmä]
-
A.
Trysilelva
Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
-
B.
Sastamala
chosen
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
C.
Myrsky
Myrsky is a poem from Eino Leino’s influential Finnish poetry collection "Helkavirsiä," known for its mythic tone and national romantic themes.
-
D.
Liausson
Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
-
E.
Hemsila
Hemsila is a river in the Norwegian municipality of Hemsedal, known for its scenic valley course and popular trout fishing.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a73c148190bba8f16b1232fd46 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65599a9c0819086233fb2c622d243 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 9, 2026, 4:53 p.m.