Triple
T4820619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Oblast |
E107701
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gus-Khrustalny
Gus-Khrustalny is a town in western Russia known for its historic glass-making industry and status as a local industrial center.
|
E471232
|
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: Gus-Khrustalny | Statement: [Vladimir Oblast, contains, Gus-Khrustalny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gus-Khrustalny Context triple: [Vladimir Oblast, contains, Gus-Khrustalny]
-
A.
Godunov
Godunov is a Russian surname most famously associated with Boris Godunov, the tsar who ruled Russia at the turn of the 17th century.
-
B.
Georgy Katys
Georgy Katys is a Russian television presenter and journalist known for hosting popular TV programs.
-
C.
Vyacheslav
Vyacheslav is a masculine given name of Slavic origin, most notably borne by Soviet politician Vyacheslav Molotov.
-
D.
Gergiev
Gergiev is the surname of Valery Gergiev, a prominent Russian conductor known for leading major orchestras and opera companies worldwide.
-
E.
Chruściel
Chruściel is a Polish surname most notably borne by Antoni Chruściel, a Polish military officer and leader in the Warsaw Uprising during World War II.
- 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: Gus-Khrustalny Triple: [Vladimir Oblast, contains, Gus-Khrustalny]
Generated description
Gus-Khrustalny is a town in western Russia known for its historic glass-making industry and status as a local industrial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gus-Khrustalny Target entity description: Gus-Khrustalny is a town in western Russia known for its historic glass-making industry and status as a local industrial center.
-
A.
Godunov
Godunov is a Russian surname most famously associated with Boris Godunov, the tsar who ruled Russia at the turn of the 17th century.
-
B.
Georgy Katys
Georgy Katys is a Russian television presenter and journalist known for hosting popular TV programs.
-
C.
Vyacheslav
Vyacheslav is a masculine given name of Slavic origin, most notably borne by Soviet politician Vyacheslav Molotov.
-
D.
Gergiev
Gergiev is the surname of Valery Gergiev, a prominent Russian conductor known for leading major orchestras and opera companies worldwide.
-
E.
Chruściel
Chruściel is a Polish surname most notably borne by Antoni Chruściel, a Polish military officer and leader in the Warsaw Uprising during World War II.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c98358081908ed43425af667a98 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dc02118819093f4dfad16c6085f |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4e38bccc81909102f922fd395568 |
completed | March 21, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4ea8fa708190909e26268b49b678 |
completed | March 21, 2026, 7:54 a.m. |
Created at: March 20, 2026, 1:24 p.m.