Triple
T36625739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMTInterpol |
E904162
|
entity |
| Predicate | canBeUsedVia |
P129262
|
FINISHED |
| Object | command-line interface |
—
|
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: command-line interface | Statement: [SMTInterpol, canBeUsedVia, command-line interface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeUsedVia Context triple: [SMTInterpol, canBeUsedVia, command-line interface]
-
A.
canBeUsed
Indicates that one entity is suitable or available to serve a particular function, purpose, or role in relation to another entity or context.
-
B.
canBeUsedOver
Indicates that one entity is suitable or valid for use in place of, or in relation to, another entity.
-
C.
canUse
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
D.
usedVia
chosen
Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
-
E.
canBeUsedWithout
Indicates that one entity is capable of functioning or being utilized independently of another specified entity.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 3, 2026, 4:11 p.m.