Triple
T1829917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Finland |
E40737
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Vehmaa
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
|
E206571
|
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: Vehmaa | Statement: [Southwest Finland, containsMunicipality, Vehmaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vehmaa Context triple: [Southwest Finland, containsMunicipality, Vehmaa]
-
A.
Heltermaa
Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
-
B.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
-
C.
Nõmme
Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
-
D.
Tumpa
Tumpa is a song featured on the album "Legend of the Sun Virgin."
-
E.
Mustamäe
Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
- 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: Vehmaa Triple: [Southwest Finland, containsMunicipality, Vehmaa]
Generated description
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vehmaa Target entity description: Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
-
A.
Heltermaa
Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
-
B.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
-
C.
Nõmme
Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
-
D.
Tumpa
Tumpa is a song featured on the album "Legend of the Sun Virgin."
-
E.
Mustamäe
Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0144cc08190abd1a6cf44e64daf |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b24f448190a3aa5a85a9106d71 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcc55db8481909b5680230a61a4c1 |
completed | March 8, 2026, 7:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adccf2b56c8190bf2de8f8bcbb4837 |
completed | March 8, 2026, 7:24 p.m. |
Created at: March 4, 2026, 7:32 p.m.