Triple
T3081753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 1122 |
E64273
|
entity |
| Predicate | coversLayer |
P29174
|
FINISHED |
| Object | Internet layer |
—
|
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: Internet layer | Statement: [RFC 1122, coversLayer, Internet layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversLayer Context triple: [RFC 1122, coversLayer, Internet layer]
-
A.
coversMode
Indicates that one entity includes, addresses, or supports a particular mode or manner of operation associated with another entity.
-
B.
coversLevel
chosen
Indicates that one entity includes or encompasses a particular level or layer of another entity or system.
-
C.
coverUpBy
Indicates that one entity conceals, suppresses, or hides the actions, information, or wrongdoing associated with another entity.
-
D.
layerOf
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
-
E.
coversSection
Indicates that one entity includes, addresses, or provides content for a particular section of 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e70b9081908c801d084a6ae992 |
completed | March 8, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69ad9debb6308190be28378ae1fc98af |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.