Triple

T17520168
Position Surface form Disambiguated ID Type / Status
Subject Dask E426661 entity
Predicate supportsClusterManager P82518 FINISHED
Object YARN NE NERFINISHED

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: YARN | Statement: [Dask, supportsClusterManager, YARN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YARN
Context triple: [Dask, supportsClusterManager, YARN]
  • A. 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.
  • B. yarn
    Yarn is a fast, reliable JavaScript package manager that serves as an alternative to npm for managing project dependencies.
  • C. Apache Tez
    Apache Tez is a distributed data processing framework designed for building high-performance batch and interactive data workflows on Hadoop.
  • D. TEZ
    TEZ is the IATA airport code for Tezpur Airport, a domestic airport serving the city of Tezpur in Assam, India.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.