Triple
T432128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea of Azov |
E9735
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object |
Yeysk
Yeysk is a Russian port town and resort on the Sea of Azov, known for its beaches, shallow waters, and role as a regional fishing and shipping center.
|
E55933
|
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: Yeysk | Statement: [Sea of Azov, hasPort, Yeysk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeysk Context triple: [Sea of Azov, hasPort, Yeysk]
-
A.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
B.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
C.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
D.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
E.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
- 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: Yeysk Triple: [Sea of Azov, hasPort, Yeysk]
Generated description
Yeysk is a Russian port town and resort on the Sea of Azov, known for its beaches, shallow waters, and role as a regional fishing and shipping center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yeysk Target entity description: Yeysk is a Russian port town and resort on the Sea of Azov, known for its beaches, shallow waters, and role as a regional fishing and shipping center.
-
A.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
B.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
C.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
D.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
E.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eef07e748190b05392778f3de980 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e6ea6b08190b80a73d43af4a269 |
completed | March 1, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69a440548aec81909ef1be2e8d3bd486 |
completed | March 1, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a440e991408190a2b26a552fec32a8 |
completed | March 1, 2026, 1:36 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.