Triple
T7932196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Cloud Storage |
E184212
|
entity |
| Predicate | hasStorageClass |
P79848
|
FINISHED |
| Object |
Nearline
Nearline is a Google Cloud Storage class designed for low-cost, long-term data that is accessed infrequently but still needs relatively quick retrieval.
|
E697150
|
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: Nearline | Statement: [Google Cloud Storage, hasStorageClass, Nearline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nearline Context triple: [Google Cloud Storage, hasStorageClass, Nearline]
-
A.
White Line
"White Line" is a grungy, guitar-driven rock song by Neil Young and Crazy Horse from the 1990 album *Ragged Glory*.
-
B.
EverLine
EverLine is an automated light rail transit line serving the city of Yongin in the Seoul Capital Area, connecting local districts to the broader Seoul Metropolitan Subway network.
-
C.
Valley Lines
Valley Lines is a suburban rail network serving Cardiff and the surrounding South Wales Valleys.
-
D.
Sightlines
Sightlines is a major contemporary art project by Canadian painter Wanda Koop that explores themes of perception, landscape, and the impact of technology on how we see the world.
-
E.
Laynez
Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
- 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: Nearline Triple: [Google Cloud Storage, hasStorageClass, Nearline]
Generated description
Nearline is a Google Cloud Storage class designed for low-cost, long-term data that is accessed infrequently but still needs relatively quick retrieval.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nearline Target entity description: Nearline is a Google Cloud Storage class designed for low-cost, long-term data that is accessed infrequently but still needs relatively quick retrieval.
-
A.
White Line
"White Line" is a grungy, guitar-driven rock song by Neil Young and Crazy Horse from the 1990 album *Ragged Glory*.
-
B.
EverLine
EverLine is an automated light rail transit line serving the city of Yongin in the Seoul Capital Area, connecting local districts to the broader Seoul Metropolitan Subway network.
-
C.
Valley Lines
Valley Lines is a suburban rail network serving Cardiff and the surrounding South Wales Valleys.
-
D.
Sightlines
Sightlines is a major contemporary art project by Canadian painter Wanda Koop that explores themes of perception, landscape, and the impact of technology on how we see the world.
-
E.
Laynez
Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ace87f081908635769942645e78 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c041e588190bfbf251ed88d5bcd |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f22f89c8190a98208bf096a2427 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76d2dff8819085ad9e10baad1537 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:08 p.m.