Triple
T4916979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilla Värtan |
E110372
|
entity |
| Predicate | nearbyDistrict |
P18717
|
FINISHED |
| Object |
Ropsten
Ropsten is an area and transport hub in northeastern Stockholm, Sweden, known as a gateway to the island of Lidingö.
|
E479276
|
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: Ropsten | Statement: [Lilla Värtan, nearbyDistrict, Ropsten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ropsten Context triple: [Lilla Värtan, nearbyDistrict, Ropsten]
-
A.
Sepolia depot
Sepolia depot is a maintenance and storage facility serving the Athens Metro system in Athens, Greece.
-
B.
Besu
Besu is an open-source Java-based Ethereum client designed for enterprise and public network use, supporting both mainnet and private/permissioned blockchain deployments.
-
C.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
-
D.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
E.
Nethermind
Nethermind is a high-performance, .NET-based Ethereum execution client used to run full nodes, validate blocks, and interact with the Ethereum network.
- 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: Ropsten Triple: [Lilla Värtan, nearbyDistrict, Ropsten]
Generated description
Ropsten is an area and transport hub in northeastern Stockholm, Sweden, known as a gateway to the island of Lidingö.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ropsten Target entity description: Ropsten is an area and transport hub in northeastern Stockholm, Sweden, known as a gateway to the island of Lidingö.
-
A.
Sepolia depot
Sepolia depot is a maintenance and storage facility serving the Athens Metro system in Athens, Greece.
-
B.
Besu
Besu is an open-source Java-based Ethereum client designed for enterprise and public network use, supporting both mainnet and private/permissioned blockchain deployments.
-
C.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
-
D.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
E.
Nethermind
Nethermind is a high-performance, .NET-based Ethereum execution client used to run full nodes, validate blocks, and interact with the Ethereum network.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa559608190aa8d02b1547b8f97 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6ff19f508190902b77b9ca1e5ab6 |
completed | March 21, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_69be71f8bd708190b0a9658e3a4f1db1 |
completed | March 21, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be72572c748190bcdf9f229f0499cc |
completed | March 21, 2026, 10:26 a.m. |
Created at: March 20, 2026, 1:29 p.m.