Triple
T21095209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Temryukovna |
E519746
|
entity |
| Predicate | placeOfOrigin |
P3743
|
FINISHED |
| Object |
Kabardia
Kabardia is a historical region in the North Caucasus, traditionally inhabited by the Kabardian (Circassian) people and later incorporated into the Russian Empire.
|
E1466628
|
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: Kabardia | Statement: [Maria Temryukovna, placeOfOrigin, Kabardia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabardia Context triple: [Maria Temryukovna, placeOfOrigin, Kabardia]
-
A.
Shakhty
Shakhty is an industrial city in southwestern Russia known historically for its coal mining and located within Rostov Oblast.
-
B.
Kara-Balta
Kara-Balta is an industrial city in northern Kyrgyzstan known for its mining and metallurgical enterprises.
-
C.
Dagestan
Dagestan is a mountainous republic in the North Caucasus region of Russia, known for its ethnic diversity, complex history, and strategic location along the Caspian Sea.
-
D.
Terek Grozny
Terek Grozny is a Russian professional football club based in Grozny, Chechnya, that has competed in the Russian Premier League.
-
E.
Карымский
Карымский — действующий стратовулкан на Камчатке, один из самых активных вулканов России.
- 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: Kabardia Triple: [Maria Temryukovna, placeOfOrigin, Kabardia]
Generated description
Kabardia is a historical region in the North Caucasus, traditionally inhabited by the Kabardian (Circassian) people and later incorporated into the Russian Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kabardia Target entity description: Kabardia is a historical region in the North Caucasus, traditionally inhabited by the Kabardian (Circassian) people and later incorporated into the Russian Empire.
-
A.
Shakhty
Shakhty is an industrial city in southwestern Russia known historically for its coal mining and located within Rostov Oblast.
-
B.
Kara-Balta
Kara-Balta is an industrial city in northern Kyrgyzstan known for its mining and metallurgical enterprises.
-
C.
Dagestan
Dagestan is a mountainous republic in the North Caucasus region of Russia, known for its ethnic diversity, complex history, and strategic location along the Caspian Sea.
-
D.
Terek Grozny
Terek Grozny is a Russian professional football club based in Grozny, Chechnya, that has competed in the Russian Premier League.
-
E.
Карымский
Карымский — действующий стратовулкан на Камчатке, один из самых активных вулканов России.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a5e7f048190b485f392105666d2 |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095b6d25f8819097334c13ef37003e |
completed | May 17, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095c7c8840819087c9860a75314b83 |
completed | May 17, 2026, 6:13 a.m. |
Created at: April 16, 2026, 2:52 p.m.