Triple

T8093923
Position Surface form Disambiguated ID Type / Status
Subject Apache Flink E188935 entity
Predicate supportsDeployment P203 FINISHED
Object YARN 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: YARN | Statement: [Apache Flink, supportsDeployment, YARN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YARN
Context triple: [Apache Flink, supportsDeployment, 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 (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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429089cc81909e4625f9cc7e305f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc64112138819096050975d707d8ee completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.