Triple
T19704189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DogVacay |
E473168
|
entity |
| Predicate | hasSitterScreening |
P18242
|
FINISHED |
| Object | background checks |
—
|
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: background checks | Statement: [DogVacay, hasSitterScreening, background checks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSitterScreening Context triple: [DogVacay, hasSitterScreening, background checks]
-
A.
hasScreened
Indicates that one entity has shown, displayed, or evaluated another entity, typically in the context of presenting media or conducting a review or check.
-
B.
wasScreenedAs
Indicates that an entity was evaluated or tested and classified as a particular role, status, or category during a screening process.
-
C.
screenedBefore
Indicates that one entity was screened or shown at an earlier time than another entity.
-
D.
hasSecurityScreening
chosen
Indicates that an entity is subject to, or has undergone, a security screening process.
-
E.
screenedWith
Indicates that one entity is examined, tested, or evaluated using another entity as the screening method, tool, or criterion.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b8707081908fbf96c989d2d52d |
completed | April 20, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.