Triple
T11422365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Töölö |
E270655
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Kallio
Kallio is a densely populated, historically working-class district in central Helsinki known for its vibrant nightlife, bohemian atmosphere, and diverse urban culture.
|
E928286
|
NE FINISHED |
How this triple was built (4 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: Kallio | Statement: [Töölö, borderedBy, Kallio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kallio Context triple: [Töölö, borderedBy, Kallio]
-
A.
Kallio
Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
-
B.
Kauriala
Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
-
C.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
D.
Karkkila
Karkkila is a small town and municipality in southern Finland known for its industrial history and surrounding lakes and forests.
-
E.
Kajansi
Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kallio Triple: [Töölö, borderedBy, Kallio]
Generated description
Kallio is a densely populated, historically working-class district in central Helsinki known for its vibrant nightlife, bohemian atmosphere, and diverse urban culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kallio Target entity description: Kallio is a densely populated, historically working-class district in central Helsinki known for its vibrant nightlife, bohemian atmosphere, and diverse urban culture.
-
A.
Kallio
Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
-
B.
Kauriala
Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
-
C.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
D.
Karkkila
Karkkila is a small town and municipality in southern Finland known for its industrial history and surrounding lakes and forests.
-
E.
Kajansi
Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
- F. None of above. chosen
Provenance (5 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e603e6614c8190b61691bd933fa529 |
completed | April 20, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69e610a07bf881908de79850edb9576f |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e617fdaaa88190a1860fb00309596b |
completed | April 20, 2026, 12:11 p.m. |
Created at: April 8, 2026, 9:34 p.m.