Triple
T8844285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemerovo |
E210464
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Kemerovo village
Kemerovo village is a rural locality in Russia that gave its name to the industrial city of Kemerovo in southwestern Siberia.
|
E760249
|
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: Kemerovo village | Statement: [Kemerovo, namedAfter, Kemerovo village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemerovo village Context triple: [Kemerovo, namedAfter, Kemerovo village]
-
A.
Kuznetsovo
Kuznetsovo is the former name of the town now known as Belogorsk in Russia’s Amur Oblast.
-
B.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
-
C.
Khertvisi village
Khertvisi village is a small settlement in southern Georgia known primarily for its proximity to the historic Khertvisi Fortress overlooking the Mtkvari River.
-
D.
Osen village
Osen village is a small coastal settlement in the Fosen region of Trøndelag county, Norway.
-
E.
Shishkat village
Shishkat village was a settlement in northern Pakistan’s Hunza Valley that gained attention after being largely inundated by the formation of Attabad Lake in 2010.
- 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: Kemerovo village Triple: [Kemerovo, namedAfter, Kemerovo village]
Generated description
Kemerovo village is a rural locality in Russia that gave its name to the industrial city of Kemerovo in southwestern Siberia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kemerovo village Target entity description: Kemerovo village is a rural locality in Russia that gave its name to the industrial city of Kemerovo in southwestern Siberia.
-
A.
Kuznetsovo
Kuznetsovo is the former name of the town now known as Belogorsk in Russia’s Amur Oblast.
-
B.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
-
C.
Khertvisi village
Khertvisi village is a small settlement in southern Georgia known primarily for its proximity to the historic Khertvisi Fortress overlooking the Mtkvari River.
-
D.
Osen village
Osen village is a small coastal settlement in the Fosen region of Trøndelag county, Norway.
-
E.
Shishkat village
Shishkat village was a settlement in northern Pakistan’s Hunza Valley that gained attention after being largely inundated by the formation of Attabad Lake in 2010.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc608a73c88190875409fef79ffc8a |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89ad0a3c8190a2bcf9a106138835 |
completed | April 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69cf8ac657a48190b01e3f0365105f3c |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8b8849ec8190915fa087b1b46c18 |
completed | April 3, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:48 p.m.