Triple
T19609201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakhalin-I |
E470684
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Rosneft |
—
|
NE NERFINISHED |
How this triple was built (2 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: Rosneft | Statement: [Sakhalin-I, partner, Rosneft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosneft Context triple: [Sakhalin-I, partner, Rosneft]
-
A.
Rosneft
chosen
Rosneft is a major Russian state-controlled oil company and one of the world’s largest publicly traded petroleum producers.
-
B.
Gazprom Neft
Gazprom Neft is a major Russian oil company engaged in exploration, production, refining, and marketing of petroleum products.
-
C.
Lukoil
Lukoil is one of Russia's largest vertically integrated oil and gas companies, engaged in exploration, production, refining, and marketing of petroleum products worldwide.
-
D.
Gazprom
Gazprom is a Russian state-controlled energy giant and one of the world’s largest producers and exporters of natural gas.
-
E.
Tatneft
Tatneft is a major Russian oil and gas company headquartered in the Republic of Tatarstan and among the country’s largest vertically integrated energy producers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ca57a081909c05000fca52271f |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.