Triple
T20222399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skadovsk Port |
E495288
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Skadovsk
Skadovsk is a port city in southern Ukraine on the Black Sea coast, known for its maritime trade and seaside tourism.
|
E1419346
|
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: Skadovsk | Statement: [Skadovsk Port, locatedIn, Skadovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skadovsk Context triple: [Skadovsk Port, locatedIn, Skadovsk]
-
A.
Metelkova City
Metelkova City is an autonomous cultural and social center in Ljubljana, Slovenia, known for its alternative art scene, vibrant nightlife, and politically engaged community.
-
B.
Proskurov
Proskurov is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
-
C.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
D.
Černilov
Černilov is a municipality and village in the Hradec Králové Region of the Czech Republic, known for its rural character and proximity to the city of Hradec Králové.
-
E.
Pavlohrad
Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
- 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: Skadovsk Triple: [Skadovsk Port, locatedIn, Skadovsk]
Generated description
Skadovsk is a port city in southern Ukraine on the Black Sea coast, known for its maritime trade and seaside tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skadovsk Target entity description: Skadovsk is a port city in southern Ukraine on the Black Sea coast, known for its maritime trade and seaside tourism.
-
A.
Metelkova City
Metelkova City is an autonomous cultural and social center in Ljubljana, Slovenia, known for its alternative art scene, vibrant nightlife, and politically engaged community.
-
B.
Proskurov
Proskurov is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
-
C.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
D.
Černilov
Černilov is a municipality and village in the Hradec Králové Region of the Czech Republic, known for its rural character and proximity to the city of Hradec Králové.
-
E.
Pavlohrad
Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd729548190942bcf842f03c4cd |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b866fc4819086521bb69505b674 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c6561ec8190b1eee3d94aeb5009 |
completed | May 16, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084d0ac2f881909be142d6b30cc9ec |
completed | May 16, 2026, 10:55 a.m. |
Created at: April 11, 2026, 11:39 p.m.