Triple
T12846876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogilev-Podilskyi |
E307200
|
entity |
| Predicate | hasNameInRussian |
P20560
|
FINISHED |
| Object |
Могилёв-Подольский
Могилёв-Подольский — это город на западе Украины, расположенный на берегу Днестра у границы с Молдовой, известный как важный транспортный и исторический центр Подолья.
|
E1008301
|
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: Могилёв-Подольский | Statement: [Mogilev-Podilskyi, hasNameInRussian, Могилёв-Подольский]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Могилёв-Подольский Context triple: [Mogilev-Podilskyi, hasNameInRussian, Могилёв-Подольский]
-
A.
Podolsk
Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
-
B.
Mogilev
Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
-
C.
Noginsk
Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
-
D.
Serpukhov
Serpukhov is a historic Russian town south of Moscow known for its medieval monasteries, industrial heritage, and location on the Nara River.
-
E.
Borisoglebsk
Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
- 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: Могилёв-Подольский Triple: [Mogilev-Podilskyi, hasNameInRussian, Могилёв-Подольский]
Generated description
Могилёв-Подольский — это город на западе Украины, расположенный на берегу Днестра у границы с Молдовой, известный как важный транспортный и исторический центр Подолья.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Могилёв-Подольский Target entity description: Могилёв-Подольский — это город на западе Украины, расположенный на берегу Днестра у границы с Молдовой, известный как важный транспортный и исторический центр Подолья.
-
A.
Podolsk
Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
-
B.
Mogilev
Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
-
C.
Noginsk
Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
-
D.
Serpukhov
Serpukhov is a historic Russian town south of Moscow known for its medieval monasteries, industrial heritage, and location on the Nara River.
-
E.
Borisoglebsk
Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a549fc188190a7dfcf16faa5e415 |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a69b218c8190b7a1783f4608c484 |
completed | May 3, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7a3c9948190bc6cee51ee66103d |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:36 p.m.