Triple
T8856023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Askainen Louhisaari Manor |
E210758
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Askainen |
E40736
|
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: Askainen | Statement: [Askainen Louhisaari Manor, locatedIn, Askainen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Askainen Context triple: [Askainen Louhisaari Manor, locatedIn, Askainen]
-
A.
Askainen
chosen
Askainen is a village and former municipality in southwestern Finland known for its historic Loukko Manor and coastal rural landscape.
-
B.
Aaro
Aaro is a Finnish masculine given name commonly used in Finland and among Finnish speakers.
-
C.
Akaki
Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
-
D.
Kauniainen
Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
-
E.
Aikin
Aikin is the family name of the prominent 18th–19th century English literary and intellectual family to which writer and educator Anna Laetitia Barbauld belonged.
- 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_69cfa09e6d388190ba8f5d8516b43bc4 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.