Triple

T7986039
Position Surface form Disambiguated ID Type / Status
Subject Google MapReduce E185683 entity
Predicate paperTitle P38 FINISHED
Object MapReduce: Simplified Data Processing on Large Clusters E185673 NE FINISHED

How this triple was built (2 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: MapReduce: Simplified Data Processing on Large Clusters | Statement: [Google MapReduce, paperTitle, MapReduce: Simplified Data Processing on Large Clusters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MapReduce: Simplified Data Processing on Large Clusters
Context triple: [Google MapReduce, paperTitle, MapReduce: Simplified Data Processing on Large Clusters]
  • A. MapReduce chosen
    MapReduce is a programming model and processing framework for distributed computation of large data sets across clusters of computers.
  • B. Google MapReduce
    Google MapReduce is a programming model and processing framework developed by Google for large-scale distributed data processing across clusters of commodity hardware.
  • C. Google File System
    Google File System is a distributed file system developed by Google to reliably store and process massive amounts of data across clusters of commodity hardware.
  • D. Hadoop
    Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
  • E. Apache Storm
    Apache Storm is a distributed real-time computation system designed for processing large streams of data with low latency and high fault tolerance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69cb3c4b87e48190a797f5363c8f0a04 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc568393008190b8ff6cc17f9b5c46 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:15 p.m.