Triple
T13815434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helsinki region |
E332002
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sipoo |
E665787
|
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: Sipoo | Statement: [Helsinki region, contains, Sipoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sipoo Context triple: [Helsinki region, contains, Sipoo]
-
A.
Sipoo
chosen
Sipoo is a municipality in southern Finland, located in the Uusimaa region east of Helsinki and known for its coastal landscapes and rural character.
-
B.
Paimio
Paimio is a small Finnish town best known for the modernist Paimio Sanatorium designed by architect Alvar Aalto.
-
C.
Kauriala
Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
-
D.
Kallio
Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
-
E.
Kallio
Kallio is a densely populated, historically working-class district in central Helsinki known for its vibrant nightlife, bohemian atmosphere, and diverse urban culture.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02806e148190996f58934e66d7d8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e0112481909deb31f8614f8b93 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.