Triple
T8771382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varna Province |
E208470
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Aksakovo
Aksakovo is a town in northeastern Bulgaria that serves as an important residential and industrial center near the city of Varna.
|
E757875
|
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: Aksakovo | Statement: [Varna Province, hasMajorTown, Aksakovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aksakovo Context triple: [Varna Province, hasMajorTown, Aksakovo]
-
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.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
-
C.
Orekhovo
Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
-
D.
Feodorovsky Gorodok
Feodorovsky Gorodok is a historic architectural complex in Pushkin, Russia, built in a neo-Russian style as a residence and military settlement associated with the last Russian imperial family.
-
E.
Kuznetsovo
Kuznetsovo is the former name of the town now known as Belogorsk in Russia’s Amur 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: Aksakovo Triple: [Varna Province, hasMajorTown, Aksakovo]
Generated description
Aksakovo is a town in northeastern Bulgaria that serves as an important residential and industrial center near the city of Varna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aksakovo Target entity description: Aksakovo is a town in northeastern Bulgaria that serves as an important residential and industrial center near the city of Varna.
-
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.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
-
C.
Orekhovo
Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
-
D.
Feodorovsky Gorodok
Feodorovsky Gorodok is a historic architectural complex in Pushkin, Russia, built in a neo-Russian style as a residence and military settlement associated with the last Russian imperial family.
-
E.
Kuznetsovo
Kuznetsovo is the former name of the town now known as Belogorsk in Russia’s Amur 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2b08f881909f3d4fab2eda1d67 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51b7d05c8190b84e02a8796d3422 |
completed | April 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69cf55016d108190b6de72787962564f |
completed | April 3, 2026, 5:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf55940918819088ed8a6ea2f8f460 |
completed | April 3, 2026, 5:52 a.m. |
Created at: March 30, 2026, 6:41 p.m.