Triple
T915045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euboea |
E19749
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object |
Kymi
Kymi is a coastal town on the eastern side of the Greek island of Euboea, known for its port, scenic views, and role as a regional commercial center.
|
E108311
|
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: Kymi | Statement: [Euboea, hasImportantTown, Kymi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kymi Context triple: [Euboea, hasImportantTown, Kymi]
-
A.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
-
B.
Taipale
Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
-
C.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
D.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
-
E.
Ronkonkoma
Ronkonkoma is a hamlet in Suffolk County, New York, known as a major transportation hub on central Long Island.
- 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: Kymi Triple: [Euboea, hasImportantTown, Kymi]
Generated description
Kymi is a coastal town on the eastern side of the Greek island of Euboea, known for its port, scenic views, and role as a regional commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kymi Target entity description: Kymi is a coastal town on the eastern side of the Greek island of Euboea, known for its port, scenic views, and role as a regional commercial center.
-
A.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
-
B.
Taipale
Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
-
C.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
D.
Kioni
Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
-
E.
Ronkonkoma
Ronkonkoma is a hamlet in Suffolk County, New York, known as a major transportation hub on central Long Island.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b74b789c8190b174f9b17dc46f9e |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf6062e48190ad7efca6da7d0445 |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7cfd126f48190bff81a9c2d3781f0 |
completed | March 4, 2026, 6:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d05886c081909e6453d766540720 |
completed | March 4, 2026, 6:25 a.m. |
Created at: March 1, 2026, 7:39 p.m.