Triple
T2611264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kostroma Oblast |
E58778
|
entity |
| Predicate | ISO3166-2Code |
P208
|
FINISHED |
| Object |
RU-KOS
RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
|
E281346
|
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: RU-KOS | Statement: [Kostroma Oblast, ISO3166-2Code, RU-KOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RU-KOS Context triple: [Kostroma Oblast, ISO3166-2Code, RU-KOS]
-
A.
RU
RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
-
B.
ROSN
ROSN is the stock ticker symbol for Rosneft, a major Russian state-controlled oil and gas company.
-
C.
Rus'
Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
-
D.
ROSSIYA
ROSSIYA is the radio callsign used by Rossiya Airlines, a major Russian carrier based in Saint Petersburg.
-
E.
RU-DA
RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
- 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: RU-KOS Triple: [Kostroma Oblast, ISO3166-2Code, RU-KOS]
Generated description
RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RU-KOS Target entity description: RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
-
A.
RU
RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
-
B.
ROSN
ROSN is the stock ticker symbol for Rosneft, a major Russian state-controlled oil and gas company.
-
C.
Rus'
Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
-
D.
ROSSIYA
ROSSIYA is the radio callsign used by Rossiya Airlines, a major Russian carrier based in Saint Petersburg.
-
E.
RU-DA
RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87b24e48190ad1d4ce7e63c0f3e |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83e506188190b6cd3b507dfc353c |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af846b59508190b6f7f9b266123be0 |
completed | March 10, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af850fe6008190bf6c7c64d1078a50 |
completed | March 10, 2026, 2:42 a.m. |
Created at: March 6, 2026, 9:50 p.m.