Triple
T10601267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odesa Oblast |
E275751
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Artsyz
Artsyz is a small town in southwestern Ukraine known for its agricultural surroundings and location within the historical region of Bessarabia.
|
E874063
|
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: Artsyz | Statement: [Odesa Oblast, containsTown, Artsyz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artsyz Context triple: [Odesa Oblast, containsTown, Artsyz]
-
A.
Artěl
Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
-
B.
Artis
Artis is a masculine given name most notably borne by Hall of Fame basketball center Artis Gilmore.
-
C.
Artime
Artime is a Spanish-language surname of likely Iberian origin borne by various individuals, including figures in Latin American history and culture.
-
D.
Artu
Artu is a diminutive or nickname form of the given name Arturo, commonly used in informal or affectionate contexts.
-
E.
Afiartis
Afiartis is a coastal area on the Greek island of Karpathos known for its beaches and strong winds that make it popular for windsurfing and other water sports.
- 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: Artsyz Triple: [Odesa Oblast, containsTown, Artsyz]
Generated description
Artsyz is a small town in southwestern Ukraine known for its agricultural surroundings and location within the historical region of Bessarabia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artsyz Target entity description: Artsyz is a small town in southwestern Ukraine known for its agricultural surroundings and location within the historical region of Bessarabia.
-
A.
Artěl
Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
-
B.
Artis
Artis is a masculine given name most notably borne by Hall of Fame basketball center Artis Gilmore.
-
C.
Artime
Artime is a Spanish-language surname of likely Iberian origin borne by various individuals, including figures in Latin American history and culture.
-
D.
Artu
Artu is a diminutive or nickname form of the given name Arturo, commonly used in informal or affectionate contexts.
-
E.
Afiartis
Afiartis is a coastal area on the Greek island of Karpathos known for its beaches and strong winds that make it popular for windsurfing and other water sports.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ea8f1688190aa36e29b52667d26 |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d95f81955c8190b629d57a034a4b76 |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d961047a78819088094e02c0b99f60 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:31 p.m.