Triple
T22028320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instant Hotspot |
E544020
|
entity |
| Predicate | showsOn |
P2371
|
FINISHED |
| Object | Wi‑Fi menu on Mac |
—
|
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: Wi‑Fi menu on Mac | Statement: [Instant Hotspot, showsOn, Wi‑Fi menu on Mac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsOn Context triple: [Instant Hotspot, showsOn, Wi‑Fi menu on Mac]
-
A.
shows
chosen
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
B.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
C.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
D.
showsOnServiceFlag
Indicates that something is displayed or marked as active on a particular service or platform.
-
E.
viewOnPrograms
Indicates the stance, opinion, or perspective that an entity holds regarding certain programs (such as policies, initiatives, or media content).
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127cdf5c08190ac804664d6e56fe2 |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.