Triple
T7565663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarevsky District |
E178905
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Sovet-Kvadzhe
Sovet-Kvadzhe is a rural settlement located within the Lazarevsky District of Krasnodar Krai, Russia, near the Black Sea coast.
|
E672713
|
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: Sovet-Kvadzhe | Statement: [Lazarevsky District, hasSettlement, Sovet-Kvadzhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sovet-Kvadzhe Context triple: [Lazarevsky District, hasSettlement, Sovet-Kvadzhe]
-
A.
Georgievsk
Georgievsk is a town in Russia’s Stavropol Krai, historically notable as the site where the 1783 Treaty of Georgievsk between the Russian Empire and the Kingdom of Kartli-Kakheti was signed.
-
B.
Tselinograd
Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
-
C.
Samokov
Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
-
D.
Maloyaroslavets
Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
-
E.
Kızılay
Kızılay is a central district and major commercial hub in Ankara, Turkey, known for its busy squares, offices, shops, and public transportation connections.
- 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: Sovet-Kvadzhe Triple: [Lazarevsky District, hasSettlement, Sovet-Kvadzhe]
Generated description
Sovet-Kvadzhe is a rural settlement located within the Lazarevsky District of Krasnodar Krai, Russia, near the Black Sea coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sovet-Kvadzhe Target entity description: Sovet-Kvadzhe is a rural settlement located within the Lazarevsky District of Krasnodar Krai, Russia, near the Black Sea coast.
-
A.
Georgievsk
Georgievsk is a town in Russia’s Stavropol Krai, historically notable as the site where the 1783 Treaty of Georgievsk between the Russian Empire and the Kingdom of Kartli-Kakheti was signed.
-
B.
Tselinograd
Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
-
C.
Samokov
Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
-
D.
Maloyaroslavets
Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
-
E.
Kızılay
Kızılay is a central district and major commercial hub in Ankara, Turkey, known for its busy squares, offices, shops, and public transportation connections.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fde87c81909795fc713d7378ff |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856dc5ea881908c2e0075f9631af4 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c8575116c481909aa2bebb997e2883 |
completed | March 28, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c857d522dc8190ae3c4734ac428334 |
completed | March 28, 2026, 10:36 p.m. |
Created at: March 27, 2026, 3:50 p.m.