Triple

T7985395
Position Surface form Disambiguated ID Type / Status
Subject Yet Another Resource Negotiator E185671 entity
Predicate replaces P101 FINISHED
Object Hadoop MapReduce v1 JobTracker E185672 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: Hadoop MapReduce v1 JobTracker | Statement: [Yet Another Resource Negotiator, replaces, Hadoop MapReduce v1 JobTracker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadoop MapReduce v1 JobTracker
Context triple: [Yet Another Resource Negotiator, replaces, Hadoop MapReduce v1 JobTracker]
  • A. MapReduce
    MapReduce is a programming model and processing framework for distributed computation of large data sets across clusters of computers.
  • B. Hadoop
    Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets 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. HDFS
    HDFS (Hadoop Distributed File System) is a fault-tolerant, distributed file system designed to store and manage large volumes of data across clusters of commodity hardware.
  • E. YARN chosen
    YARN (Yet Another Resource Negotiator) is Hadoop’s cluster resource management and job scheduling framework that coordinates and allocates system resources for distributed data processing applications.
  • 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_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.
Created at: March 30, 2026, 5:15 p.m.