Triple
T4600450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon S3 |
E100305
|
entity |
| Predicate | namingConstraint |
P2555
|
FINISHED |
| Object | globally unique bucket names |
—
|
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: globally unique bucket names | Statement: [Amazon S3, namingConstraint, globally unique bucket names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namingConstraint Context triple: [Amazon S3, namingConstraint, globally unique bucket names]
-
A.
namingBasis
Indicates that one entity serves as the reason, source, or criterion for how another entity is named or designated.
-
B.
namingStructure
chosen
Indicates a relationship where one entity defines, organizes, or constrains the naming or label format used for another entity.
-
C.
namingConventionType
Indicates the specific style or set of rules used for naming entities or elements in a given context.
-
D.
coNamedWith
Indicates that two or more entities share the same name or are designated by an identical label.
-
E.
constrainedBy
Indicates that one entity’s state, behavior, or possibilities are limited, restricted, or governed by 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5971f448819090f6e76c7d3ffc2d |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.