Triple
T8856081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åboland |
E210759
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Parainen |
E203444
|
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: Parainen | Statement: [Åboland, containsSettlement, Parainen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parainen Context triple: [Åboland, containsSettlement, Parainen]
-
A.
Parainen
chosen
Parainen is a coastal town and municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
-
B.
Nousiainen
Nousiainen is a small municipality in southwestern Finland known for its rural landscapes and historical significance as one of the country’s early ecclesiastical centers.
-
C.
Nanneella
Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
-
D.
Pertteli
Pertteli was a former municipality in southwestern Finland that is now part of the city of Salo.
-
E.
Ikaalinen
Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c7f51881909c847989f31f203a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab8911c8819083f5caa318071720 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:50 p.m.