Triple
T9403362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I-root |
E226528
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object |
Netnod
Netnod is a Swedish internet infrastructure organization that operates critical core services such as internet exchange points, DNS root server instances, and time and frequency distribution.
|
E795895
|
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: Netnod | Statement: [I-root, operatedBy, Netnod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Netnod Context triple: [I-root, operatedBy, Netnod]
-
A.
Uzlovaya
Uzlovaya is a town in western Russia known as an industrial and railway hub within Tula Oblast.
-
B.
Nethermind
Nethermind is a high-performance, .NET-based Ethereum execution client used to run full nodes, validate blocks, and interact with the Ethereum network.
-
C.
Netphen
Netphen is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its surrounding forests and role as a local administrative and economic center.
-
D.
Netinera
Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
-
E.
Nym
Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
- 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: Netnod Triple: [I-root, operatedBy, Netnod]
Generated description
Netnod is a Swedish internet infrastructure organization that operates critical core services such as internet exchange points, DNS root server instances, and time and frequency distribution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Netnod Target entity description: Netnod is a Swedish internet infrastructure organization that operates critical core services such as internet exchange points, DNS root server instances, and time and frequency distribution.
-
A.
Uzlovaya
Uzlovaya is a town in western Russia known as an industrial and railway hub within Tula Oblast.
-
B.
Nethermind
Nethermind is a high-performance, .NET-based Ethereum execution client used to run full nodes, validate blocks, and interact with the Ethereum network.
-
C.
Netphen
Netphen is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its surrounding forests and role as a local administrative and economic center.
-
D.
Netinera
Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
-
E.
Nym
Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51bf7e5c8190850b671778496150 |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1012ca6c0819098c427233d226dd2 |
completed | April 4, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69d101bf84548190a28e5f24aff265b1 |
completed | April 4, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1025ebf5c8190914b682117b01827 |
completed | April 4, 2026, 12:21 p.m. |
Created at: March 30, 2026, 7:46 p.m.