Triple
T15732221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polyarny |
E381371
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Alexandrovsk
Alexandrovsk was the former name of the Russian Arctic port town now known as Polyarny, located in Murmansk Oblast.
|
E1174516
|
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: Alexandrovsk | Statement: [Polyarny, historicalName, Alexandrovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandrovsk Context triple: [Polyarny, historicalName, Alexandrovsk]
-
A.
Alexandrovsk
Alexandrovsk was a historical town in the Russian Empire, now known as Zaporizhzhia in southeastern Ukraine.
-
B.
Alexandrovskaya
Alexandrovskaya is a suburban locality within the Pushkinsky District of Saint Petersburg, Russia, known primarily as a residential settlement.
-
C.
Odoyev
Odoyev is a historic town in Tula Oblast, Russia, known as an old regional center with roots dating back to medieval Rus.
-
D.
Piotrovsky
Piotrovsky is a Russian surname most prominently associated with Mikhail Piotrovsky, the long-serving director of the State Hermitage Museum in Saint Petersburg.
-
E.
Nikulin
Nikulin is a Russian surname most famously associated with Soviet clown and actor Yuri Nikulin.
- 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: Alexandrovsk Triple: [Polyarny, historicalName, Alexandrovsk]
Generated description
Alexandrovsk was the former name of the Russian Arctic port town now known as Polyarny, located in Murmansk Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexandrovsk Target entity description: Alexandrovsk was the former name of the Russian Arctic port town now known as Polyarny, located in Murmansk Oblast.
-
A.
Alexandrovsk
Alexandrovsk was a historical town in the Russian Empire, now known as Zaporizhzhia in southeastern Ukraine.
-
B.
Alexandrovskaya
Alexandrovskaya is a suburban locality within the Pushkinsky District of Saint Petersburg, Russia, known primarily as a residential settlement.
-
C.
Odoyev
Odoyev is a historic town in Tula Oblast, Russia, known as an old regional center with roots dating back to medieval Rus.
-
D.
Piotrovsky
Piotrovsky is a Russian surname most prominently associated with Mikhail Piotrovsky, the long-serving director of the State Hermitage Museum in Saint Petersburg.
-
E.
Nikulin
Nikulin is a Russian surname most famously associated with Soviet clown and actor Yuri Nikulin.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fed7888190b45f28ac91e0079e |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83b7a534819090e24491579376c3 |
completed | May 9, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff844fa00c8190a47eb46394db097b |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 4:46 a.m.