Triple
T7985564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Storm |
E185674
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object |
Nimbus
Nimbus is the central coordination and resource management service in Apache Storm that assigns tasks to worker nodes and oversees the execution of distributed stream processing topologies.
|
E705290
|
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: Nimbus | Statement: [Apache Storm, uses, Nimbus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nimbus Context triple: [Apache Storm, uses, Nimbus]
-
A.
Nimbus
Nimbus is a lightweight, resource-efficient Ethereum consensus client designed to run on a wide range of devices, including low-power and embedded hardware.
-
B.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
-
C.
Lusei
Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
-
D.
Orneta
Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
-
E.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
- 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: Nimbus Triple: [Apache Storm, uses, Nimbus]
Generated description
Nimbus is the central coordination and resource management service in Apache Storm that assigns tasks to worker nodes and oversees the execution of distributed stream processing topologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nimbus Target entity description: Nimbus is the central coordination and resource management service in Apache Storm that assigns tasks to worker nodes and oversees the execution of distributed stream processing topologies.
-
A.
Nimbus
Nimbus is a lightweight, resource-efficient Ethereum consensus client designed to run on a wide range of devices, including low-power and embedded hardware.
-
B.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
-
C.
Lusei
Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
-
D.
Orneta
Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
-
E.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4a55b881909a96133e56c0dffa |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0e6f3c48190a0132fa90eec6420 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cc46c221848190848c7e017e532a16 |
completed | March 31, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc480d2f40819085046a1d0c9d05e0 |
completed | March 31, 2026, 10:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.