Triple
T11215562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilomantsi sector |
E265428
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Ilomantsi
Ilomantsi is a rural municipality in eastern Finland known for its vast forests, Orthodox cultural heritage, and position near the Russian border.
|
E911240
|
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: Ilomantsi | Statement: [Ilomantsi sector, locatedIn, Ilomantsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilomantsi Context triple: [Ilomantsi sector, locatedIn, Ilomantsi]
-
A.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
B.
Liausson
Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
-
C.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
-
D.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
-
E.
Raisio
Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
- 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: Ilomantsi Triple: [Ilomantsi sector, locatedIn, Ilomantsi]
Generated description
Ilomantsi is a rural municipality in eastern Finland known for its vast forests, Orthodox cultural heritage, and position near the Russian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilomantsi Target entity description: Ilomantsi is a rural municipality in eastern Finland known for its vast forests, Orthodox cultural heritage, and position near the Russian border.
-
A.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
B.
Liausson
Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
-
C.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
-
D.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
-
E.
Raisio
Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8e8eef48190932a85784ce15c86 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49762e3188190ba3c0e01cf04f6a1 |
completed | April 19, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e49d37989881909c7e75ddfff06726 |
completed | April 19, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49f41a1f8819087cc15527dc7ff63 |
completed | April 19, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.