Triple
T15954355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pestovo |
E386895
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object |
Ustyuzhna
Ustyuzhna is a historic town in Vologda Oblast, Russia, known for its traditional architecture and role as a local administrative and cultural center.
|
E1275064
|
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: Ustyuzhna | Statement: [Pestovo, roadConnectionTo, Ustyuzhna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ustyuzhna Context triple: [Pestovo, roadConnectionTo, Ustyuzhna]
-
A.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
B.
Yasenevo
Yasenevo is a Moscow Metro station serving the Yasenevo District in the south-western part of Moscow, Russia.
-
C.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
-
D.
Podporozhye
Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
-
E.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
- 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: Ustyuzhna Triple: [Pestovo, roadConnectionTo, Ustyuzhna]
Generated description
Ustyuzhna is a historic town in Vologda Oblast, Russia, known for its traditional architecture and role as a local administrative and cultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ustyuzhna Target entity description: Ustyuzhna is a historic town in Vologda Oblast, Russia, known for its traditional architecture and role as a local administrative and cultural center.
-
A.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
B.
Yasenevo
Yasenevo is a Moscow Metro station serving the Yasenevo District in the south-western part of Moscow, Russia.
-
C.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
-
D.
Podporozhye
Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
-
E.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f810148190ab4989a0e4a5f8c0 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d27210b4819099aed53a2820591a |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d30961788190881f78d1989bd4ae |
completed | May 11, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d65ce2a48190a78e58b643de699a |
completed | May 11, 2026, 1:15 p.m. |
Created at: April 10, 2026, 4:53 a.m.