Triple
T11275087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasipalatsi |
E266914
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kamppi district |
E650038
|
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: Kamppi district | Statement: [Lasipalatsi, locatedIn, Kamppi district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamppi district Context triple: [Lasipalatsi, locatedIn, Kamppi district]
-
A.
Kamppi district
chosen
Kamppi district is a central neighborhood in Helsinki, Finland, known as a major commercial, cultural, and transportation hub of the city.
-
B.
Hietaniemi district
Hietaniemi district is a central area of Helsinki, Finland, known for its large cemetery, seaside parklands, and significant national memorials.
-
C.
Raasepori
Raasepori is a coastal town and municipality in southern Finland known for its medieval castle ruins and historic wooden town of Ekenäs.
-
D.
Vantaa
Vantaa is a major city in the Helsinki metropolitan area of southern Finland, known for hosting Helsinki Airport and serving as an important commercial and residential hub.
-
E.
Munkkiniemi
Munkkiniemi is a residential district in western Helsinki, Finland, known for its seaside location, parks, and notable architecture.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e966cb4c8190bc410d7e623e54db |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f445792c8190962d94aa71f328d9 |
completed | April 19, 2026, 3:27 p.m. |
Created at: April 8, 2026, 9:31 p.m.