Triple
T30768999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Little Australians (television adaptation) |
E783458
|
entity |
| Predicate | workOriginCountryOfSource |
P129719
|
FINISHED |
| Object | Australia |
—
|
NE NERFINISHED |
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: Australia | Statement: [Seven Little Australians (television adaptation), workOriginCountryOfSource, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOriginCountryOfSource Context triple: [Seven Little Australians (television adaptation), workOriginCountryOfSource, Australia]
-
A.
associatedWorkCountryOfOrigin
chosen
Indicates that the related work originates from, or is primarily associated with, a specified country.
-
B.
organizationCountryOfOrigin
Indicates the country where an organization was originally founded or established.
-
C.
engineOriginCountry
Indicates the country where an engine was originally designed, manufactured, or first produced.
-
D.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
E.
fromWorkCountryOfOrigin
Indicates that something originates from the same country as the subject’s place of work.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fbffc3481909fc9b762f2cc5dd4 |
completed | May 2, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:40 p.m.