Triple
T435994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia |
E10011
|
entity |
| Predicate | internetTLD |
P248
|
FINISHED |
| Object |
.rf
.rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
|
E54610
|
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: .rf | Statement: [Russia, internetTLD, .rf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .rf Context triple: [Russia, internetTLD, .rf]
-
A.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
B.
Rif
Rif, also known as Rabbi Isaac Alfasi, was an 11th-century Talmudic scholar whose halachic digest of the Talmud became a foundational legal work that strongly shaped later Jewish law codes.
-
C.
FA
FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
-
D.
RA
RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
-
E.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
- 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: .rf Triple: [Russia, internetTLD, .rf]
Generated description
.rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: .rf Target entity description: .rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
-
A.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
B.
Rif
Rif, also known as Rabbi Isaac Alfasi, was an 11th-century Talmudic scholar whose halachic digest of the Talmud became a foundational legal work that strongly shaped later Jewish law codes.
-
C.
FA
FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
-
D.
RA
RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
-
E.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef0c97188190b62104cb639d4b60 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a431e6989c81909d0a79408f8ca76a |
completed | March 1, 2026, 12:32 p.m. |
| NEDg | Description generation | batch_69a43241ad9881909fb74e078ea07e19 |
completed | March 1, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a43301bbe08190ac625f5194d36267 |
completed | March 1, 2026, 12:37 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.