Triple
T856946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amur Oblast |
E18512
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Shimanovsk
Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
|
E111931
|
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: Shimanovsk | Statement: [Amur Oblast, hasTown, Shimanovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shimanovsk Context triple: [Amur Oblast, hasTown, Shimanovsk]
-
A.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
B.
Mytishchi
Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
-
C.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
D.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
-
E.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
- 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: Shimanovsk Triple: [Amur Oblast, hasTown, Shimanovsk]
Generated description
Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shimanovsk Target entity description: Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
-
A.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
B.
Mytishchi
Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
-
C.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
D.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
-
E.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4d47508190b48d944aa2d881bf |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a93398a6948190981e932178aee6b9 |
completed | March 5, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69a93d2162ac81908830459d0c937093 |
completed | March 5, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a95d2e3d908190afa636dcde6db627 |
completed | March 5, 2026, 10:38 a.m. |
Created at: March 1, 2026, 7:39 p.m.