Triple
T4979948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ivstools |
E111858
|
entity |
| Predicate | canConvert |
P14329
|
FINISHED |
| Object | pcap to ivs |
—
|
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: pcap to ivs | Statement: [ivstools, canConvert, pcap to ivs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canConvert Context triple: [ivstools, canConvert, pcap to ivs]
-
A.
allowsConversionTo
chosen
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
B.
convertsTo
Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
-
C.
convertsFrom
Indicates that one entity is transformed or changed into another entity, with the source being the starting form or state.
-
D.
acceptsConversionFrom
Indicates that one entity can validly receive or handle a conversion from another entity’s type, format, or representation.
-
E.
methodOfConversion
Indicates the specific process or technique used to transform one form, state, or representation into another.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.