Triple
T25533996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFTTT |
E639995
|
entity |
| Predicate | appletsPreviouslyCalled |
P158631
|
FINISHED |
| Object | recipes |
—
|
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: recipes | Statement: [IFTTT, appletsPreviouslyCalled, recipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appletsPreviouslyCalled Context triple: [IFTTT, appletsPreviouslyCalled, recipes]
-
A.
exampleApplication
Indicates that something serves as a representative or illustrative instance of how an application is used or functions.
-
B.
hasApp
Indicates that an entity possesses, provides, or is associated with a particular application.
-
C.
applicationInterface
Indicates that one entity serves as an interface or interaction layer through which another entity accesses or uses an application’s functionality.
-
D.
calledAs
Indicates that one entity is referred to, named, or addressed by another specific name or label.
-
E.
nowCalled
Indicates that an entity previously known by one name is currently referred to by a different name.
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8652c908190bee57d3f2663e6b2 |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 3:16 p.m.