Triple
T7034483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E63 |
E163346
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Joroinen
Joroinen is a small municipality in Eastern Finland known for its lakes, rural landscapes, and historic manor houses.
|
E637163
|
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: Joroinen | Statement: [European route E63, passesThrough, Joroinen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joroinen Context triple: [European route E63, passesThrough, Joroinen]
-
A.
Juhuri
Juhuri are a Jewish ethnic group from the Eastern Caucasus, traditionally speaking Judeo-Tat and maintaining distinct religious and cultural practices.
-
B.
Kukkonen
Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
-
C.
Terioki
Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
-
D.
Joumine
Joumine is a locality in northern Tunisia situated within the Bizerte Governorate, known for its rural character and surrounding natural landscapes.
-
E.
Kooda
"Kooda" is a high-energy hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive delivery and colorful, chaotic music video that helped launch his mainstream notoriety.
- 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: Joroinen Triple: [European route E63, passesThrough, Joroinen]
Generated description
Joroinen is a small municipality in Eastern Finland known for its lakes, rural landscapes, and historic manor houses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joroinen Target entity description: Joroinen is a small municipality in Eastern Finland known for its lakes, rural landscapes, and historic manor houses.
-
A.
Juhuri
Juhuri are a Jewish ethnic group from the Eastern Caucasus, traditionally speaking Judeo-Tat and maintaining distinct religious and cultural practices.
-
B.
Kukkonen
Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
-
C.
Terioki
Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
-
D.
Joumine
Joumine is a locality in northern Tunisia situated within the Bizerte Governorate, known for its rural character and surrounding natural landscapes.
-
E.
Kooda
"Kooda" is a high-energy hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive delivery and colorful, chaotic music video that helped launch his mainstream notoriety.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e212e28c8190bf38ce9a25d2032e |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7759c8e408190a7d457e77a44ee26 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c779acac2881909917e12072f66637 |
completed | March 28, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77a0390248190ba535e7d931a4682 |
completed | March 28, 2026, 6:49 a.m. |
Created at: March 27, 2026, 2:36 p.m.