Triple
T27814914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GFS |
E702632
|
entity |
| Predicate | replicationFactorDefault |
P97253
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [GFS, replicationFactorDefault, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replicationFactorDefault Context triple: [GFS, replicationFactorDefault, 3]
-
A.
supportsDataReplicationFactor
Indicates that an entity enables, configures, or is compatible with a specified data replication factor for storing or duplicating data.
-
B.
hasReplicationNumber
chosen
Indicates that an entity is associated with a specific replication or copy number, typically quantifying how many instances or reproductions of it exist.
-
C.
replicationMethod
Indicates the technique or process by which something is copied, reproduced, or duplicated.
-
D.
hasReplicaPolicy
Indicates that an entity is associated with a specific policy governing how its replicas are created, managed, or maintained.
-
E.
numberOfPartitions
Indicates the total count of distinct partitions into which a given set, resource, or structure is divided.
- F. None of above.
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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:45 p.m.