Triple
T20638662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 200GBASE-R PHYs |
E507157
|
entity |
| Predicate | FECType |
P140867
|
FINISHED |
| Object | RS-FEC |
—
|
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: RS-FEC | Statement: [200GBASE-R PHYs, FECType, RS-FEC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FECType Context triple: [200GBASE-R PHYs, FECType, RS-FEC]
-
A.
fileTypeCode
Indicates the specific classification or category code that identifies the type or format of a file.
-
B.
FIBACode
Indicates a relationship where an entity is assigned or associated with a specific FIBA (International Basketball Federation) identification code.
-
C.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
D.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
E.
typeOfFIU
Indicates that one entity is classified as a specific type or category of Financial Intelligence Unit (FIU) in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad1163008190aa9df36750a952d2 |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:42 a.m.