Triple
T1854343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uusimaa |
E41667
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kerava
Kerava is a small city in southern Finland known as a commuter town within the Greater Helsinki region.
|
E314676
|
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: Kerava | Statement: [Uusimaa, contains, Kerava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerava Context triple: [Uusimaa, contains, Kerava]
-
A.
Imatra
Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
-
B.
Lahti
Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
-
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.
Lappeenranta
Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
-
E.
Kokkola
Kokkola is a coastal city in western Finland known for its maritime heritage and role as a military and naval hub.
- 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: Kerava Triple: [Uusimaa, contains, Kerava]
Generated description
Kerava is a small city in southern Finland known as a commuter town within the Greater Helsinki region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerava Target entity description: Kerava is a small city in southern Finland known as a commuter town within the Greater Helsinki region.
-
A.
Imatra
Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
-
B.
Lahti
Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
-
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.
Lappeenranta
Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
-
E.
Kokkola
Kokkola is a coastal city in western Finland known for its maritime heritage and role as a military and naval hub.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb06b3f08819092b3fbdff83b3097 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc189de08190b88849333d824c5b |
completed | March 11, 2026, 5:22 a.m. |
| NEDg | Description generation | batch_69b0fd5e0ce081909a3fe89afc57a708 |
completed | March 11, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1011c30ec8190a61b447733c7d4e7 |
completed | March 11, 2026, 5:43 a.m. |
Created at: March 4, 2026, 7:33 p.m.