Triple
T18528267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facebook Engineering |
E452772
|
entity |
| Predicate | developedTechnology |
P5334
|
FINISHED |
| Object | Corona (Hadoop scheduler) |
—
|
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: Corona (Hadoop scheduler) | Statement: [Facebook Engineering, developedTechnology, Corona (Hadoop scheduler)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corona (Hadoop scheduler) Context triple: [Facebook Engineering, developedTechnology, Corona (Hadoop scheduler)]
-
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.
Distributed Resource Management Application API
Distributed Resource Management Application API is a standardized programming interface that allows applications to submit and control jobs on distributed resource management and grid computing systems.
-
C.
Apache Tez
Apache Tez is a distributed data processing framework designed for building high-performance batch and interactive data workflows on Hadoop.
-
D.
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.
-
E.
Mesos scheduler
Mesos scheduler is the component in Apache Mesos responsible for requesting and managing resource offers from Mesos masters to run and coordinate tasks across a cluster.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fad2d081908395914d6a6b4eb1 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.