Triple
T8009077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 6410 |
E186437
|
entity |
| Predicate | maturityLevels |
P16092
|
FINISHED |
| Object | Proposed Standard |
—
|
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: Proposed Standard | Statement: [RFC 6410, maturityLevels, Proposed Standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maturityLevels Context triple: [RFC 6410, maturityLevels, Proposed Standard]
-
A.
maturityType
Indicates the kind or category of maturity associated with an entity, such as how or when an obligation, product, or process reaches its full or due state.
-
B.
maturity
chosen
Indicates that an entity has reached a specified stage of development, completeness, or readiness, often marking the point at which certain rights, obligations, or behaviors become applicable.
-
C.
initiationLevels
Indicates the degree or stage at which an action, process, or relationship is begun or set in motion between entities.
-
D.
hasCertificationLevels
Indicates that an entity possesses one or more defined levels or tiers of certification within a particular certification scheme or program.
-
E.
hasMaturity
Indicates that an entity possesses a specified level, state, or stage of development or maturity.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6f76408190a1312369521a187a |
completed | March 31, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:19 p.m.