Triple
T31654434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karajarri |
E807821
|
entity |
| Predicate | countryBorders |
P201455
|
FINISHED |
| Object | Yawuru country |
—
|
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: Yawuru country | Statement: [Karajarri, countryBorders, Yawuru country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryBorders Context triple: [Karajarri, countryBorders, Yawuru country]
-
A.
borderCountries
Indicates that one country shares a land or maritime boundary with another country.
-
B.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
C.
continentBorders
Indicates that one continent shares a land or maritime boundary directly with another continent.
-
D.
currentCountryBorders
Indicates that one country’s present-day territorial boundaries directly touch or intersect those of another country.
-
E.
geographicallyBorders
Indicates that two geographic entities share a common boundary or border.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fff86e544c81908063f61b876c9d78 |
completed | May 10, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fff7e7cb688190977eeca41aad25b9 |
completed | May 10, 2026, 3:13 a.m. |
| PDg | Predicate description generation | batch_69fff86da6f48190aac10a80b648c05a |
completed | May 10, 2026, 3:15 a.m. |
Created at: April 30, 2026, 10:54 p.m.