Triple
T25040867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nation of the three rivers |
E627102
|
entity |
| Predicate | isTraditionalCountryOf |
P73982
|
FINISHED |
| Object | Wiradjuri people |
—
|
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: Wiradjuri people | Statement: [Nation of the three rivers, isTraditionalCountryOf, Wiradjuri people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTraditionalCountryOf Context triple: [Nation of the three rivers, isTraditionalCountryOf, Wiradjuri people]
-
A.
isTraditionalInCountry
Indicates that something is customary, long-established, or commonly practiced within a particular country.
-
B.
onTraditionalCountryOf
chosen
Indicates that something is located within or associated with the traditional country or ancestral lands of a particular group.
-
C.
hasTraditionalCountryNear
Indicates that one entity has a traditional or culturally recognized country located geographically close to it.
-
D.
countryInTradition
Indicates that a country participates in, is associated with, or belongs to a particular cultural, historical, or religious tradition.
-
E.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4530aeb7c8190af81f3329e8acf45 |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:08 a.m.