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.