Triple
T2852910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkhangelsk Oblast |
E63131
|
entity |
| Predicate | otherMajorCity |
P21859
|
FINISHED |
| Object |
Novodvinsk
Novodvinsk is an industrial town in northern Russia known for its pulp and paper production and its location near the regional center of Arkhangelsk.
|
E332827
|
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: Novodvinsk | Statement: [Arkhangelsk Oblast, otherMajorCity, Novodvinsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novodvinsk Context triple: [Arkhangelsk Oblast, otherMajorCity, Novodvinsk]
-
A.
Kastornoye
Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
-
B.
Otradnoye
Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
-
C.
Yuryev
Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
-
D.
Malyovitsa
Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
-
E.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
- 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: Novodvinsk Triple: [Arkhangelsk Oblast, otherMajorCity, Novodvinsk]
Generated description
Novodvinsk is an industrial town in northern Russia known for its pulp and paper production and its location near the regional center of Arkhangelsk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novodvinsk Target entity description: Novodvinsk is an industrial town in northern Russia known for its pulp and paper production and its location near the regional center of Arkhangelsk.
-
A.
Kastornoye
Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
-
B.
Otradnoye
Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
-
C.
Yuryev
Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
-
D.
Malyovitsa
Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
-
E.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5e043c8190ac82112abce7262a |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b23582f3508190a9eb50e11a08d0f5 |
completed | March 12, 2026, 3:39 a.m. |
| NEDg | Description generation | batch_69b236962ee48190b37836e5fe6dbc37 |
completed | March 12, 2026, 3:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b237397e14819093a7192d28c59ad1 |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 6, 2026, 10:02 p.m.