Triple
T25642697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RethinkDB |
E642874
|
entity |
| Predicate | supportsConsistencyModel |
P55185
|
FINISHED |
| Object | document-level atomicity |
—
|
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: document-level atomicity | Statement: [RethinkDB, supportsConsistencyModel, document-level atomicity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsConsistencyModel Context triple: [RethinkDB, supportsConsistencyModel, document-level atomicity]
-
A.
consistencyModel
chosen
Indicates that one entity adheres to, implements, or is governed by a particular consistency model in its behavior or operations.
-
B.
hasConsistency
Indicates that one entity maintains a stable, uniform, or coherent state, behavior, or set of properties in relation to another entity or over time.
-
C.
requiresForConsistency
Indicates that one element must be present or satisfied for another element to remain logically or functionally consistent.
-
D.
supportsConsensus
Indicates that one entity endorses, upholds, or contributes to the achievement or maintenance of a shared agreement or collective decision among multiple parties.
-
E.
compatibilityModel
Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 21, 2026, 5:46 p.m.