Triple
T33842275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buku-Larrnggay Mulka Centre |
E867387
|
entity |
| Predicate | hasSubOrganisation |
P48916
|
FINISHED |
| Object | The Mulka Project |
—
|
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: The Mulka Project | Statement: [Buku-Larrnggay Mulka Centre, hasSubOrganisation, The Mulka Project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubOrganisation Context triple: [Buku-Larrnggay Mulka Centre, hasSubOrganisation, The Mulka Project]
-
A.
hasSubOrganizationType
Indicates that an organization is associated with or classified under a specific type or category of sub-organization.
-
B.
hasOrganLevelOrganization
Indicates that an entity possesses a level of biological organization in which distinct organs are present and functionally integrated.
-
C.
hasSubsidiariesIn
Indicates that an entity has subsidiary companies or organizations operating or registered in a specified location or jurisdiction.
-
D.
hasAuxiliaryOrganizations
chosen
Indicates that an entity is associated with one or more subsidiary or supporting organizations that assist or extend its activities.
-
E.
hasCompanionOrganization
Indicates that one organization is associated with another organization that accompanies, supports, or partners it in some related capacity.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff7595c9bc8190982c6e6e07a0c78f |
completed | May 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69ff715432a88190a25670d26614bde2 |
completed | May 9, 2026, 5:39 p.m. |
Created at: May 1, 2026, 1:47 a.m.