Triple
T16351671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsova-Tush |
E397074
|
entity |
| Predicate | traditionalRegion |
P1968
|
FINISHED |
| Object |
Tsova
Tsova is a historical highland region in the Caucasus traditionally inhabited by the Tsova-Tush (Batsbi) people.
|
E1225373
|
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: Tsova | Statement: [Tsova-Tush, traditionalRegion, Tsova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsova Context triple: [Tsova-Tush, traditionalRegion, Tsova]
-
A.
Vlasina Lake
Vlasina Lake is a high-altitude artificial lake in southeastern Serbia, known for its floating peat islands and surrounding unspoiled nature.
-
B.
Rybinsk
Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
-
C.
Nieuwe Meer
Nieuwe Meer is a lake in the Netherlands, situated on the western edge of Amsterdam and used for recreation and water management.
-
D.
Varna Lake
Varna Lake is a coastal lagoon on Bulgaria’s Black Sea coast near the city of Varna, known for its brackish waters and role in local industry and transport.
-
E.
Černé jezero
Černé jezero is the largest and deepest glacial lake in the Czech Republic, located in the Šumava Mountains near the German border.
- 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: Tsova Triple: [Tsova-Tush, traditionalRegion, Tsova]
Generated description
Tsova is a historical highland region in the Caucasus traditionally inhabited by the Tsova-Tush (Batsbi) people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsova Target entity description: Tsova is a historical highland region in the Caucasus traditionally inhabited by the Tsova-Tush (Batsbi) people.
-
A.
Vlasina Lake
Vlasina Lake is a high-altitude artificial lake in southeastern Serbia, known for its floating peat islands and surrounding unspoiled nature.
-
B.
Rybinsk
Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
-
C.
Nieuwe Meer
Nieuwe Meer is a lake in the Netherlands, situated on the western edge of Amsterdam and used for recreation and water management.
-
D.
Varna Lake
Varna Lake is a coastal lagoon on Bulgaria’s Black Sea coast near the city of Varna, known for its brackish waters and role in local industry and transport.
-
E.
Černé jezero
Černé jezero is the largest and deepest glacial lake in the Czech Republic, located in the Šumava Mountains near the German border.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facbf60c8190aa47d4c45ff59354 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a88dc08190a78973bc71f179d4 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00853af11881908e0e61fb352e2e87 |
completed | May 10, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0085f2fd2881908b31bd57790acb74 |
completed | May 10, 2026, 1:19 p.m. |
Created at: April 10, 2026, 5:07 a.m.