Triple
T36625741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMTInterpol |
E904162
|
entity |
| Predicate | usesInputFormat |
P109452
|
FINISHED |
| Object | SMT-LIB |
—
|
NE NERFINISHED |
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: SMT-LIB | Statement: [SMTInterpol, usesInputFormat, SMT-LIB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesInputFormat Context triple: [SMTInterpol, usesInputFormat, SMT-LIB]
-
A.
primaryInputFormat
Indicates the data format that is expected or used as the main input for a given process, system, or operation.
-
B.
usesInputMethod
Indicates that one entity employs or relies on a particular input method or mechanism to receive or process input.
-
C.
hasInput
Indicates that an entity receives or takes another entity as an input to its process, function, or operation.
-
D.
usedFormat
chosen
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
-
E.
commandInputFormat
Indicates the expected structure or syntax that a command must follow when being provided as input.
- 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_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.