Triple
T9230382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bashneft |
E221800
|
entity |
| Predicate | refineryLocation |
P16607
|
FINISHED |
| Object |
Ufaorgsintez
Ufaorgsintez is a major petrochemical and oil refining complex located in Ufa, Russia, known for producing a wide range of petroleum products and chemical feedstocks.
|
E786972
|
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: Ufaorgsintez | Statement: [Bashneft, refineryLocation, Ufaorgsintez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ufaorgsintez Context triple: [Bashneft, refineryLocation, Ufaorgsintez]
-
A.
Essentuki
Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
-
B.
Vyartsilya
Vyartsilya is a small urban-type settlement in the Republic of Karelia, Russia, near the border with Finland.
-
C.
Ushba
Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
-
D.
Sintiki
Sintiki is a municipality in the Serres regional unit of Central Macedonia, Greece, known for its rural communities and proximity to the Bulgarian border.
-
E.
Yunak
Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
- 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: Ufaorgsintez Triple: [Bashneft, refineryLocation, Ufaorgsintez]
Generated description
Ufaorgsintez is a major petrochemical and oil refining complex located in Ufa, Russia, known for producing a wide range of petroleum products and chemical feedstocks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ufaorgsintez Target entity description: Ufaorgsintez is a major petrochemical and oil refining complex located in Ufa, Russia, known for producing a wide range of petroleum products and chemical feedstocks.
-
A.
Essentuki
Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
-
B.
Vyartsilya
Vyartsilya is a small urban-type settlement in the Republic of Karelia, Russia, near the border with Finland.
-
C.
Ushba
Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
-
D.
Sintiki
Sintiki is a municipality in the Serres regional unit of Central Macedonia, Greece, known for its rural communities and proximity to the Bulgarian border.
-
E.
Yunak
Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee17a2dc8190b373f78be7247f0d |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077a789f0819087d7f7612bbeaf6a |
completed | April 4, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69d07a23205881909d96450759016e94 |
completed | April 4, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07aaf06a08190b721e4b3f5a65c29 |
completed | April 4, 2026, 2:42 a.m. |
Created at: March 30, 2026, 7:29 p.m.