Triple
T3069173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saratov Oblast |
E62177
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Atkarsk
Atkarsk is a small Russian town known for its agricultural surroundings and location within the Volga region.
|
E324446
|
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: Atkarsk | Statement: [Saratov Oblast, containsCity, Atkarsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atkarsk Context triple: [Saratov Oblast, containsCity, Atkarsk]
-
A.
Akmolinsk
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
-
B.
Termez
Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
-
C.
Aktobe
Aktobe is a large industrial and cultural center in western Kazakhstan, known for its role in the country’s oil, gas, and mining sectors.
-
D.
Karshi
Karshi is a city in southern Uzbekistan known as an important regional center for industry, agriculture, and transportation.
-
E.
Karachayevsk
Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
- 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: Atkarsk Triple: [Saratov Oblast, containsCity, Atkarsk]
Generated description
Atkarsk is a small Russian town known for its agricultural surroundings and location within the Volga region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atkarsk Target entity description: Atkarsk is a small Russian town known for its agricultural surroundings and location within the Volga region.
-
A.
Akmolinsk
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
-
B.
Termez
Termez is a historic city in southern Uzbekistan near the Afghan border, known as an important cultural and trade center along the ancient Silk Road.
-
C.
Aktobe
Aktobe is a large industrial and cultural center in western Kazakhstan, known for its role in the country’s oil, gas, and mining sectors.
-
D.
Karshi
Karshi is a city in southern Uzbekistan known as an important regional center for industry, agriculture, and transportation.
-
E.
Karachayevsk
Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0ffcc208190962cc9edcbf43c31 |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f87bec6c8190ae928fc7c4467859 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f9151ce4819092f2c4b5ccd10b30 |
completed | March 11, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9b88ad481909e8e9e889cd828c6 |
completed | March 11, 2026, 11:24 p.m. |
Created at: March 8, 2026, 3:02 p.m.