Triple
T20610598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SpotPass |
E506436
|
entity |
| Predicate | differenceFromStreetPass |
P140751
|
FINISHED |
| Object | uses internet instead of local wireless encounters |
—
|
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: uses internet instead of local wireless encounters | Statement: [SpotPass, differenceFromStreetPass, uses internet instead of local wireless encounters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromStreetPass Context triple: [SpotPass, differenceFromStreetPass, uses internet instead of local wireless encounters]
-
A.
differenceFromSidecar
Indicates that one entity differs in some specified way from a corresponding or reference entity referred to as a "sidecar."
-
B.
pointDifference
Indicates the numerical difference in points or scores between two compared entities.
-
C.
differenceFromStates
Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
-
D.
distanceChange
Indicates a change in the spatial distance between two entities over time.
-
E.
distanceChangedTo
Indicates that the distance between two entities has been updated from a previous value to a new specified value.
- F. None of above. chosen
Provenance (4 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad6f53481908fb242947dda7028 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.