Triple
T14287235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasaavin |
E354205
|
entity |
| Predicate | technologyInteraction |
P81781
|
FINISHED |
| Object | can interface with computer systems |
—
|
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: can interface with computer systems | Statement: [Kasaavin, technologyInteraction, can interface with computer systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyInteraction Context triple: [Kasaavin, technologyInteraction, can interface with computer systems]
-
A.
technologyUse
Indicates the use or application of a particular technology by an entity to perform an action or achieve a purpose.
-
B.
technologyEffect
Indicates the impact or influence that a particular technology has on another entity, system, or outcome.
-
C.
technologyInteractedWith
chosen
Indicates that an entity has used, engaged with, or otherwise interacted with a particular technology.
-
D.
technologyDiscussed
Indicates that a conversation, text, or interaction includes discussion or mention of a particular technology.
-
E.
technologyTrend
Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.