Triple
T4326254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sns |
E96639
|
entity |
| Predicate | typicalCompanionImport |
P20017
|
FINISHED |
| Object | import pandas as pd |
—
|
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: import pandas as pd | Statement: [sns, typicalCompanionImport, import pandas as pd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCompanionImport Context triple: [sns, typicalCompanionImport, import pandas as pd]
-
A.
typicalImportName
chosen
Indicates that one entity is the conventional or commonly used import name (alias) for another entity in code.
-
B.
companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
C.
notableCompanionType
Indicates that one entity is a prominent or significant type of companion or associate in relation to another entity.
-
D.
usuallyAccompaniedBy
Indicates that one entity is commonly or habitually found together with, or occurs in the presence of, another entity.
-
E.
primaryImports
Indicates that one entity is the main or predominant source from which another entity imports goods, services, or resources.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3513020f481909ff2fec3934f3002 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.