Triple
T3436713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yekaterinoslav Governorate |
E72469
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pavlograd
Pavlograd is a city in eastern Ukraine known historically as a regional industrial and transport center in the Dnipropetrovsk area.
|
E385414
|
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: Pavlograd | Statement: [Yekaterinoslav Governorate, contains, Pavlograd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavlograd Context triple: [Yekaterinoslav Governorate, contains, Pavlograd]
-
A.
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.
-
B.
Gelendzhik
Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
-
C.
Alchevsk
Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
-
D.
Korsakov
Korsakov is a Russian port town on the southern coast of Sakhalin Island that serves as an important regional hub for maritime trade and fishing in the northwest Pacific.
-
E.
Feodosia
Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
- 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: Pavlograd Triple: [Yekaterinoslav Governorate, contains, Pavlograd]
Generated description
Pavlograd is a city in eastern Ukraine known historically as a regional industrial and transport center in the Dnipropetrovsk area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pavlograd Target entity description: Pavlograd is a city in eastern Ukraine known historically as a regional industrial and transport center in the Dnipropetrovsk area.
-
A.
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.
-
B.
Gelendzhik
Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
-
C.
Alchevsk
Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
-
D.
Korsakov
Korsakov is a Russian port town on the southern coast of Sakhalin Island that serves as an important regional hub for maritime trade and fishing in the northwest Pacific.
-
E.
Feodosia
Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f4398c8190a75822068308037b |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4d1c7188190b0f98fdc51e6684a |
completed | March 14, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69b4e57a8e08819099f94731af4472a3 |
completed | March 14, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e60d2224819081b7a95592f1fd74 |
completed | March 14, 2026, 4:37 a.m. |
Created at: March 8, 2026, 3:16 p.m.