Triple
T11888131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Ostrobothnia |
E282843
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Veteli
Veteli is a small rural municipality in western Finland known for its agricultural landscape and location in the Central Ostrobothnia region.
|
E953363
|
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: Veteli | Statement: [Central Ostrobothnia, containsMunicipality, Veteli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veteli Context triple: [Central Ostrobothnia, containsMunicipality, Veteli]
-
A.
Vatutin
Vatutin is a Russian surname most notably associated with Soviet World War II general Nikolai Vatutin.
-
B.
Veitvet
Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
-
C.
Valluga
Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
-
D.
Svaliava
Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
-
E.
Vaalimaa
Vaalimaa is a major road border crossing point between Finland and Russia, located in southeastern Finland near the Gulf of Finland.
- 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: Veteli Triple: [Central Ostrobothnia, containsMunicipality, Veteli]
Generated description
Veteli is a small rural municipality in western Finland known for its agricultural landscape and location in the Central Ostrobothnia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veteli Target entity description: Veteli is a small rural municipality in western Finland known for its agricultural landscape and location in the Central Ostrobothnia region.
-
A.
Vatutin
Vatutin is a Russian surname most notably associated with Soviet World War II general Nikolai Vatutin.
-
B.
Veitvet
Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
-
C.
Valluga
Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
-
D.
Svaliava
Svaliava is a small town in western Ukraine known for its scenic Carpathian surroundings and mineral springs.
-
E.
Vaalimaa
Vaalimaa is a major road border crossing point between Finland and Russia, located in southeastern Finland near the Gulf of Finland.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a2860c8190a21af5fcddbd2f1e |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417e919548190acbc248879f957ec |
completed | May 1, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69f41f1abaa481908b8a6873a07af848 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f422778a10819093bc2473ef30fe71 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.