Triple
T4970165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluga Oblast |
E111628
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Balabanovo
Balabanovo is a small town in western Russia known for its industrial enterprises and location along major transportation routes southwest of Moscow.
|
E513039
|
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: Balabanovo | Statement: [Kaluga Oblast, containsCity, Balabanovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balabanovo Context triple: [Kaluga Oblast, containsCity, Balabanovo]
-
A.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
B.
Yanovka
Yanovka is a small rural settlement in what is now Ukraine, historically part of the Russian Empire, best known as the birthplace of revolutionary leader Leon Trotsky.
-
C.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
D.
Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
-
E.
Samokov
Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
- 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: Balabanovo Triple: [Kaluga Oblast, containsCity, Balabanovo]
Generated description
Balabanovo is a small town in western Russia known for its industrial enterprises and location along major transportation routes southwest of Moscow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balabanovo Target entity description: Balabanovo is a small town in western Russia known for its industrial enterprises and location along major transportation routes southwest of Moscow.
-
A.
Borovichi
Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
-
B.
Yanovka
Yanovka is a small rural settlement in what is now Ukraine, historically part of the Russian Empire, best known as the birthplace of revolutionary leader Leon Trotsky.
-
C.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
D.
Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
-
E.
Samokov
Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd721221b88190916feb9b4f049195 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219bdd208190990db4b0fa89066a |
completed | March 21, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69bf2202acc88190bddeb94d404dd175 |
completed | March 21, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf226771008190b5edecc05ae9a7eb |
completed | March 21, 2026, 10:57 p.m. |
Created at: March 20, 2026, 1:33 p.m.