Triple
T20337169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10GBASE-R PCS |
E495643
|
entity |
| Predicate | headerValues |
P139742
|
FINISHED |
| Object | sync headers 01 and 10 |
—
|
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: sync headers 01 and 10 | Statement: [10GBASE-R PCS, headerValues, sync headers 01 and 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headerValues Context triple: [10GBASE-R PCS, headerValues, sync headers 01 and 10]
-
A.
headerField
Indicates that one entity is a specific header field (such as a name–value pair) belonging to or defined within another entity, typically a message, request, or document header.
-
B.
header
Indicates that one entity serves as a heading or title section that precedes and organizes the content of another entity.
-
C.
headerSize
Indicates the size or length of a header associated with an entity or data structure.
-
D.
headerCategory
Indicates that one entity serves as a categorical grouping or classification for the header or heading represented by the other entity.
-
E.
headDescription
Indicates that one entity serves as a textual or semantic description of the head (primary) entity in the relationship.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:23 a.m.