Triple
T23007870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oulu Airport |
E572825
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Oulunsalo
Oulunsalo is a former municipality in Northern Finland, now part of the city of Oulu, known for its proximity to Oulu Airport and the Gulf of Bothnia.
|
E1566339
|
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: Oulunsalo | Statement: [Oulu Airport, locatedIn, Oulunsalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oulunsalo Context triple: [Oulu Airport, locatedIn, Oulunsalo]
-
A.
Oulainen
Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
-
B.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
-
C.
Hankasalmi
Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
-
D.
Lapinlahti
Lapinlahti is a municipality in eastern Finland known for its rural landscapes, lakes, and traditional Finnish countryside character.
-
E.
Lapinlahti
Lapinlahti is a bay and surrounding area in Helsinki, Finland, known for its historic psychiatric hospital and seaside park landscape.
- 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: Oulunsalo Triple: [Oulu Airport, locatedIn, Oulunsalo]
Generated description
Oulunsalo is a former municipality in Northern Finland, now part of the city of Oulu, known for its proximity to Oulu Airport and the Gulf of Bothnia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oulunsalo Target entity description: Oulunsalo is a former municipality in Northern Finland, now part of the city of Oulu, known for its proximity to Oulu Airport and the Gulf of Bothnia.
-
A.
Oulainen
Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
-
B.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
-
C.
Hankasalmi
Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
-
D.
Lapinlahti
Lapinlahti is a municipality in eastern Finland known for its rural landscapes, lakes, and traditional Finnish countryside character.
-
E.
Lapinlahti
Lapinlahti is a bay and surrounding area in Helsinki, Finland, known for its historic psychiatric hospital and seaside park landscape.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835802a881908fe817c3fa728a82 |
completed | April 29, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2a2754c8190bccf743d66db9242 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf44ceb288190a6741635c9ee2e1f |
completed | May 19, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf4a68f8c8190a922ff9d23b57831 |
completed | May 19, 2026, 5:27 a.m. |
Created at: April 17, 2026, 3:51 p.m.