Triple
T2236407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 6668 |
E49290
|
entity |
| Predicate | intendedStatus |
P3927
|
FINISHED |
| Object | Standards Track |
—
|
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: Standards Track | Statement: [RFC 6668, intendedStatus, Standards Track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedStatus Context triple: [RFC 6668, intendedStatus, Standards Track]
-
A.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
B.
canonicalStatus
chosen
Indicates the formal or official standing of an entity within an established authoritative or normative system.
-
C.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
D.
standardizationStatus
Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
-
E.
interpretiveStatus
Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09573848190bf91eddcc2fa0061 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.