Triple
T13044991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabat Spit |
E327294
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Shchaslyvtseve
Shchaslyvtseve is a village and resort settlement located on the Arabat Spit in southern Ukraine, known for its coastal tourism and access to the Sea of Azov.
|
E1018215
|
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: Shchaslyvtseve | Statement: [Arabat Spit, hasPart, Shchaslyvtseve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shchaslyvtseve Context triple: [Arabat Spit, hasPart, Shchaslyvtseve]
-
A.
Zvenyhorodka
Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
B.
Levchyn
Levchyn is a Ukrainian surname most notably borne by tech entrepreneur and PayPal co-founder Max Levchin.
-
C.
Kastrychnitskaya
Kastrychnitskaya is a central Minsk Metro station known for serving the heart of Belarus’s capital near key administrative and cultural landmarks.
-
D.
Skhodnenskaya
Skhodnenskaya is a Moscow Metro station on the Tagansko-Krasnopresnenskaya Line serving the northwestern part of the city.
-
E.
Oleksandrychka
Oleksandrychka is a Ukrainian affectionate diminutive form of the female given name Oleksandra.
- 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: Shchaslyvtseve Triple: [Arabat Spit, hasPart, Shchaslyvtseve]
Generated description
Shchaslyvtseve is a village and resort settlement located on the Arabat Spit in southern Ukraine, known for its coastal tourism and access to the Sea of Azov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shchaslyvtseve Target entity description: Shchaslyvtseve is a village and resort settlement located on the Arabat Spit in southern Ukraine, known for its coastal tourism and access to the Sea of Azov.
-
A.
Zvenyhorodka
Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
B.
Levchyn
Levchyn is a Ukrainian surname most notably borne by tech entrepreneur and PayPal co-founder Max Levchin.
-
C.
Kastrychnitskaya
Kastrychnitskaya is a central Minsk Metro station known for serving the heart of Belarus’s capital near key administrative and cultural landmarks.
-
D.
Skhodnenskaya
Skhodnenskaya is a Moscow Metro station on the Tagansko-Krasnopresnenskaya Line serving the northwestern part of the city.
-
E.
Oleksandrychka
Oleksandrychka is a Ukrainian affectionate diminutive form of the female given name Oleksandra.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98050157c8190bb8c640b759ac2b7 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd720248190a23a07dadc7e1348 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd706f548190af79efa973434af9 |
completed | May 3, 2026, 4:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce23ca208190960409130c4c52a9 |
completed | May 3, 2026, 4:25 a.m. |
Created at: April 9, 2026, 8:56 p.m.