Triple
T35585379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anmatyerr people |
E1028338
|
entity |
| Predicate | haveOrganisation |
P148778
|
FINISHED |
| Object | Central Land Council representation |
—
|
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: Central Land Council representation | Statement: [Anmatyerr people, haveOrganisation, Central Land Council representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveOrganisation Context triple: [Anmatyerr people, haveOrganisation, Central Land Council representation]
-
A.
hasOrganizations
chosen
Indicates that an entity is associated with, linked to, or includes one or more organizations.
-
B.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
C.
hasOrganBy
Indicates that one entity possesses or includes another entity as an organ or component part.
-
D.
usesOrganization
Indicates that one entity makes use of, relies on, or operates through a particular organization to perform its functions or activities.
-
E.
appearsInOrganization
Indicates that an entity is present, featured, or participates within a particular organization.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.