Triple
T7985454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YARN |
E185672
|
entity |
| Predicate | replaces |
P101
|
FINISHED |
| Object | Hadoop MapReduce v1 TaskTracker |
E702186
|
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 TaskTracker | Statement: [YARN, replaces, Hadoop MapReduce v1 TaskTracker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadoop MapReduce v1 TaskTracker Context triple: [YARN, replaces, Hadoop MapReduce v1 TaskTracker]
-
A.
Hadoop MapReduce v1 JobTracker
Hadoop MapReduce v1 JobTracker was the central master service in early Hadoop versions responsible for scheduling, coordinating, and monitoring MapReduce jobs across a cluster.
-
B.
MapReduce
MapReduce is a programming model and processing framework for distributed computation of large data sets across clusters of computers.
-
C.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
D.
Apache Tez
Apache Tez is a distributed data processing framework designed for building high-performance batch and interactive data workflows on Hadoop.
-
E.
ApplicationMaster
chosen
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_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_69cc63b96ed48190b752865ef3855e46 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:15 p.m.