Triple
T27321981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilyakali people |
E689526
|
entity |
| Predicate | hasPeopleType |
P53285
|
FINISHED |
| Object | First Nations people of Australia |
—
|
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: First Nations people of Australia | Statement: [Wilyakali people, hasPeopleType, First Nations people of Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeopleType Context triple: [Wilyakali people, hasPeopleType, First Nations people of Australia]
-
A.
hasPeopleName
Indicates that an entity is associated with a specific person's name.
-
B.
hasPerson
Indicates that an entity is associated with or includes a specific person.
-
C.
isCategoryOfPeople
chosen
Indicates that a group or classification specifically pertains to people as its members.
-
D.
includesPeopleOf
Indicates that a group, organization, or entity contains or encompasses certain people as its members or participants.
-
E.
hasPersona
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
- 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 11:33 a.m.