Triple
T34541973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POSTROUTING |
E886827
|
entity |
| Predicate | tableUsedWith |
P4791
|
FINISHED |
| Object | nat 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: nat table | Statement: [POSTROUTING, tableUsedWith, nat table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tableUsedWith Context triple: [POSTROUTING, tableUsedWith, nat table]
-
A.
tableName
Indicates the name assigned to a database table that participates in the described relationship or operation.
-
B.
tableType
Indicates the specific category or kind of table that an entity is classified as.
-
C.
usedInDatabases
Indicates that something is employed or implemented within one or more database systems or database contexts.
-
D.
usedWith
chosen
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
E.
tableBasis
Indicates that one entity serves as the foundational or reference table upon which another table or tabular structure is based.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71ff6a6d48190b84bd9e1cc217e70 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.