Triple
T12488275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Mordovia |
E298492
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Ruzaevka
Ruzaevka is a town in the Republic of Mordovia, Russia, known as a local railway and industrial center.
|
E1003827
|
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: Ruzaevka | Statement: [Republic of Mordovia, hasCity, Ruzaevka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruzaevka Context triple: [Republic of Mordovia, hasCity, Ruzaevka]
-
A.
Vladimirovka
Vladimirovka was the original Russian settlement that later developed into the city of Yuzhno-Sakhalinsk on Sakhalin Island in Russia’s Far East.
-
B.
Duleevka
Duleevka is a small settlement in Russia known primarily as the birthplace of Soviet statesman Nikolai Ryzhkov.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Rublyovka
Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
-
E.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd 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: Ruzaevka Triple: [Republic of Mordovia, hasCity, Ruzaevka]
Generated description
Ruzaevka is a town in the Republic of Mordovia, Russia, known as a local railway and industrial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruzaevka Target entity description: Ruzaevka is a town in the Republic of Mordovia, Russia, known as a local railway and industrial center.
-
A.
Vladimirovka
Vladimirovka was the original Russian settlement that later developed into the city of Yuzhno-Sakhalinsk on Sakhalin Island in Russia’s Far East.
-
B.
Duleevka
Duleevka is a small settlement in Russia known primarily as the birthplace of Soviet statesman Nikolai Ryzhkov.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Rublyovka
Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
-
E.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de077bc81908b5ff057a1bf2b4f |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ea59d20819099021f36fc430856 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f68f8d2ca08190a385635fb6130a9f |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69033a66481908bf4ae23fced5983 |
completed | May 3, 2026, midnight |
Created at: April 8, 2026, 9:56 p.m.