Triple
T8011564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Governorate |
E186504
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Yegoryevsk
Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
|
E709144
|
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: Yegoryevsk | Statement: [Moscow Governorate, hasMajorCity, Yegoryevsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yegoryevsk Context triple: [Moscow Governorate, hasMajorCity, Yegoryevsk]
-
A.
Orekhovo
Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
-
B.
Yuryev
Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
-
C.
Pleskov
Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
-
D.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
-
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: Yegoryevsk Triple: [Moscow Governorate, hasMajorCity, Yegoryevsk]
Generated description
Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yegoryevsk Target entity description: Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
-
A.
Orekhovo
Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
-
B.
Yuryev
Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
-
C.
Pleskov
Pleskov is an alternative historical or variant name for the Russian city of Pskov, a historic regional center in northwestern Russia.
-
D.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
-
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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d722fbc8190b22745b581421f16 |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c1f76881909ad6d7777090f2e2 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651b4be08190ad76c70b1d617c1a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc664700dc819097d149931cf49673 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:19 p.m.