Triple
T23019277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anapa railway station |
E573117
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
city of Anapa
The city of Anapa is a Black Sea resort town in southern Russia known for its sandy beaches, mild climate, and tourism-focused infrastructure.
|
E1566561
|
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: city of Anapa | Statement: [Anapa railway station, serves, city of Anapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Anapa Context triple: [Anapa railway station, serves, city of Anapa]
-
A.
Gelendzhik
Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
-
B.
Feodosia Solovaya
Feodosia Solovaya was a Russian noblewoman best known as the first wife of Ivan Ivanovich, the son and heir of Tsar Ivan the Terrible.
-
C.
Pavlograd
Pavlograd is a city in eastern Ukraine known historically as a regional industrial and transport center in the Dnipropetrovsk area.
-
D.
Yevpatoria
Yevpatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic mud treatments, and diverse cultural heritage.
-
E.
Solnechnogorsk
Solnechnogorsk is a town in Moscow Oblast, Russia, located northwest of Moscow and known historically as a site of significant World War II military operations.
- 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: city of Anapa Triple: [Anapa railway station, serves, city of Anapa]
Generated description
The city of Anapa is a Black Sea resort town in southern Russia known for its sandy beaches, mild climate, and tourism-focused infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: city of Anapa Target entity description: The city of Anapa is a Black Sea resort town in southern Russia known for its sandy beaches, mild climate, and tourism-focused infrastructure.
-
A.
Gelendzhik
Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
-
B.
Feodosia Solovaya
Feodosia Solovaya was a Russian noblewoman best known as the first wife of Ivan Ivanovich, the son and heir of Tsar Ivan the Terrible.
-
C.
Pavlograd
Pavlograd is a city in eastern Ukraine known historically as a regional industrial and transport center in the Dnipropetrovsk area.
-
D.
Yevpatoria
Yevpatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic mud treatments, and diverse cultural heritage.
-
E.
Solnechnogorsk
Solnechnogorsk is a town in Moscow Oblast, Russia, located northwest of Moscow and known historically as a site of significant World War II military operations.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e777cc81908c0b0bfd9d5a717c |
completed | April 29, 2026, 4:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2ac373481908afa43db415547c0 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bfaf8b2148190b30e1230ea4f9eeb |
completed | May 19, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bfc2cb3288190929731dc4dbf170b |
completed | May 19, 2026, 5:59 a.m. |
Created at: April 17, 2026, 3:52 p.m.