Triple
T8486914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QPACK |
E200852
|
entity |
| Predicate | tableType |
P83567
|
FINISHED |
| Object | per-connection dynamic table |
—
|
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: per-connection dynamic table | Statement: [QPACK, tableType, per-connection dynamic table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tableType Context triple: [QPACK, tableType, per-connection dynamic table]
-
A.
tableName
Indicates the name assigned to a database table that participates in the described relationship or operation.
-
B.
plateType
Indicates the specific category or style of plate associated with an item or context.
-
C.
databaseType
Indicates the specific kind or category of database technology associated with an entity.
-
D.
סוג לוח
Indicates a relationship specifying the type or category of a board (e.g., board format, board kind, or board classification) associated with an entity.
-
E.
columnType
Indicates the specific data type assigned to a column within a table or dataset.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53c4d608190a766c0e919a4b96f |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:13 p.m.