Triple
T8703036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munkkiniemi Beach |
E206577
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Munkkiniemi |
E220012
|
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: Munkkiniemi | Statement: [Munkkiniemi Beach, locatedIn, Munkkiniemi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munkkiniemi Context triple: [Munkkiniemi Beach, locatedIn, Munkkiniemi]
-
A.
Munkkiniemi
chosen
Munkkiniemi is a residential district in western Helsinki, Finland, known for its seaside location, parks, and notable architecture.
-
B.
Kankaanpää
Kankaanpää is a small town and municipality in the Satakunta region of western Finland, known for its surrounding forests and lakes.
-
C.
Kirkkonummi
Kirkkonummi is a municipality in southern Finland, located just west of Helsinki on the coast of the Gulf of Finland.
-
D.
Mäntyniemi
Mäntyniemi is the official residence of the President of Finland, located in the Meilahti district of Helsinki.
-
E.
Matinkylä
Matinkylä is a coastal residential and commercial district in the city of Espoo, Finland, known for its metro station and shopping center Iso Omena.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b5b44081909e7b33c70fac236d |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4287aa048190ba0263623d02b2ef |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:34 p.m.