Triple
T14538426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G1 GC |
E341109
|
entity |
| Predicate | comparedWith |
P278
|
FINISHED |
| Object | Parallel GC |
E341108
|
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: Parallel GC | Statement: [G1 GC, comparedWith, Parallel GC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parallel GC Context triple: [G1 GC, comparedWith, Parallel GC]
-
A.
Parallel GC
chosen
Parallel GC is a throughput-oriented garbage collector in the HotSpot JVM that uses multiple threads to perform stop-the-world garbage collection, aiming to maximize application performance on multi-core systems.
-
B.
Serial GC
Serial GC is a simple, single-threaded garbage collector in the HotSpot JVM designed primarily for small applications or environments with limited CPU resources.
-
C.
G1 GC
G1 GC is a server-style garbage collector for the HotSpot JVM designed to provide predictable, low-pause-time memory management by partitioning the heap into regions and collecting them incrementally.
-
D.
ZGC
ZGC is a low-latency, scalable garbage collector for the HotSpot JVM designed to handle very large heaps with minimal pause times.
-
E.
SGen (generational garbage collector)
SGen is a generational garbage collector used by the Mono runtime to improve memory management performance and reduce pause times for managed applications.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5cca788190aa8762d860c78721 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.