Triple
T8790676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venyovsky Uyezd |
E209155
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object |
Venyov
Venyov is a historic town in Tula Oblast, Russia, known for its role as a local administrative and cultural center.
|
E758935
|
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: Venyov | Statement: [Venyovsky Uyezd, administrativeCentre, Venyov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venyov Context triple: [Venyovsky Uyezd, administrativeCentre, Venyov]
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
-
C.
Sosva
Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
-
D.
Viotá
Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
-
E.
Ivanychi
Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
- 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: Venyov Triple: [Venyovsky Uyezd, administrativeCentre, Venyov]
Generated description
Venyov is a historic town in Tula Oblast, Russia, known for its role as a local administrative and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Venyov Target entity description: Venyov is a historic town in Tula Oblast, Russia, known for its role as a local administrative and cultural center.
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
-
C.
Sosva
Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
-
D.
Viotá
Viotá is a rural municipality in the Cundinamarca department of Colombia, known for its coffee production and location in the Andean region southwest of Bogotá.
-
E.
Ivanychi
Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8d25f881908863d636fa57a8a2 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f493f648190b0e9392f1abb44a1 |
completed | April 3, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69cf708dbd54819099efa4b5729d6298 |
completed | April 3, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf714f22c48190a192c6fc32debfd6 |
completed | April 3, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:43 p.m.