Triple
T4379399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yenakiieve |
E99090
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Enakievo
Enakievo is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
|
E470954
|
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: Enakievo | Statement: [Yenakiieve, hasAlternativeName, Enakievo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enakievo Context triple: [Yenakiieve, hasAlternativeName, Enakievo]
-
A.
Konakovo
Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
-
B.
Terekhovo
Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
-
C.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
-
D.
Podporozhye
Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
-
E.
Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
- 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: Enakievo Triple: [Yenakiieve, hasAlternativeName, Enakievo]
Generated description
Enakievo is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enakievo Target entity description: Enakievo is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
A.
Konakovo
Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
-
B.
Terekhovo
Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
-
C.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
-
D.
Podporozhye
Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
-
E.
Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3524154dc81908532cdf997dcb802 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d66d4948190a095a92d0e3778ca |
completed | March 21, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_69be4df820408190822de7b30a15cb9e |
completed | March 21, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4e95399c81908d152c7f1485c1e8 |
completed | March 21, 2026, 7:53 a.m. |
Created at: March 12, 2026, 11:18 p.m.