Triple
T17011262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etu-Töölö |
E412704
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Lapinlahti
Lapinlahti is a bay and surrounding area in Helsinki, Finland, known for its historic psychiatric hospital and seaside park landscape.
|
E1299298
|
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: Lapinlahti | Statement: [Etu-Töölö, borderedBy, Lapinlahti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lapinlahti Context triple: [Etu-Töölö, borderedBy, Lapinlahti]
-
A.
Lapinlahti
Lapinlahti is a municipality in eastern Finland known for its rural landscapes, lakes, and traditional Finnish countryside character.
-
B.
Laajalahti
Laajalahti is a coastal district and nature area in Espoo, Finland, known for its bay, bird wetlands, and conservation sites near the Otaniemi campus area.
-
C.
Lahdenpohja
Lahdenpohja is a small town in the Ladoga Karelia region of northwestern Russia, situated near the northern shores of Lake Ladoga.
-
D.
Hankasalmi
Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
-
E.
Leppävirta
Leppävirta is a municipality in the Northern Savonia region of eastern Finland, known for its lakes, forests, and outdoor recreation opportunities.
- 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: Lapinlahti Triple: [Etu-Töölö, borderedBy, Lapinlahti]
Generated description
Lapinlahti is a bay and surrounding area in Helsinki, Finland, known for its historic psychiatric hospital and seaside park landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lapinlahti Target entity description: Lapinlahti is a bay and surrounding area in Helsinki, Finland, known for its historic psychiatric hospital and seaside park landscape.
-
A.
Lapinlahti
Lapinlahti is a municipality in eastern Finland known for its rural landscapes, lakes, and traditional Finnish countryside character.
-
B.
Laajalahti
Laajalahti is a coastal district and nature area in Espoo, Finland, known for its bay, bird wetlands, and conservation sites near the Otaniemi campus area.
-
C.
Lahdenpohja
Lahdenpohja is a small town in the Ladoga Karelia region of northwestern Russia, situated near the northern shores of Lake Ladoga.
-
D.
Hankasalmi
Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
-
E.
Leppävirta
Leppävirta is a municipality in the Northern Savonia region of eastern Finland, known for its lakes, forests, and outdoor recreation opportunities.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47bcb508190a799f0bad6b70245 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a032ff84a2c819081a92ca7fd29b122 |
completed | May 12, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a0330b320b88190983431a57c4ea8bf |
completed | May 12, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03348b50a881909977c08348744725 |
completed | May 12, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:33 a.m.