Triple

T14087309
Position Surface form Disambiguated ID Type / Status
Subject DRMAA API E339030 entity
Predicate abbreviation P43 FINISHED
Object DRMAA E339030 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: DRMAA | Statement: [DRMAA API, abbreviation, DRMAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DRMAA
Context triple: [DRMAA API, abbreviation, DRMAA]
  • A. DRMAA API chosen
    DRMAA API is a standardized programming interface that allows applications to submit and control jobs on distributed resource management and grid computing systems.
  • B. Sun Grid Engine
    Sun Grid Engine is an open-source batch-queuing and workload management system used to schedule and manage jobs on compute clusters and grids.
  • C. YARN
    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.
  • D. SGE
    SGE is a common abbreviation and nickname for Eintracht Frankfurt, a professional football club based in Frankfurt, Germany.
  • E. ApplicationMaster
    ApplicationMaster is the per-application coordinator in Hadoop YARN responsible for managing an application's lifecycle, resource requests, and task execution.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee1ce88819091c983286289337e completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a3e55c81909b52f618e9076dd2 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.