Triple
T8762397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomsk |
E208233
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Siberian Athens
Siberian Athens is a cultural and educational nickname for the Russian city of Tomsk, highlighting its historic role as a major academic and intellectual center in Siberia.
|
E755164
|
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: Siberian Athens | Statement: [Tomsk, nickname, Siberian Athens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siberian Athens Context triple: [Tomsk, nickname, Siberian Athens]
-
A.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
B.
Taganana
Taganana is a historic coastal village on Tenerife in Spain’s Canary Islands, known for its dramatic cliffs, traditional architecture, and location within the Anaga mountain range.
-
C.
Moscufo
Moscufo is a small Italian town and comune in the Abruzzo region, noted for its historic architecture and rural setting.
-
D.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
E.
Athens of the North
"Athens of the North" is a nickname for Edinburgh, highlighting the city's historic role as a major center of learning, philosophy, and neoclassical architecture in Europe.
- 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: Siberian Athens Triple: [Tomsk, nickname, Siberian Athens]
Generated description
Siberian Athens is a cultural and educational nickname for the Russian city of Tomsk, highlighting its historic role as a major academic and intellectual center in Siberia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siberian Athens Target entity description: Siberian Athens is a cultural and educational nickname for the Russian city of Tomsk, highlighting its historic role as a major academic and intellectual center in Siberia.
-
A.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
B.
Taganana
Taganana is a historic coastal village on Tenerife in Spain’s Canary Islands, known for its dramatic cliffs, traditional architecture, and location within the Anaga mountain range.
-
C.
Moscufo
Moscufo is a small Italian town and comune in the Abruzzo region, noted for its historic architecture and rural setting.
-
D.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
E.
Athens of the North
"Athens of the North" is a nickname for Edinburgh, highlighting the city's historic role as a major center of learning, philosophy, and neoclassical architecture in Europe.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfc85e481909a7ce80c5022e6e9 |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4354a4c081908c338db408694abf |
completed | April 3, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_69cf44b3ce2c8190b109189990ae6564 |
completed | April 3, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf4578473081909fc55632c366a56a |
completed | April 3, 2026, 4:43 a.m. |
Created at: March 30, 2026, 6:40 p.m.