Triple
T35185319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traditional Owners of Kakadu |
E1015968
|
entity |
| Predicate | haveAncestralLandsIn |
P90583
|
FINISHED |
| Object | Kakadu National Park |
—
|
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: Kakadu National Park | Statement: [Traditional Owners of Kakadu, haveAncestralLandsIn, Kakadu National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveAncestralLandsIn Context triple: [Traditional Owners of Kakadu, haveAncestralLandsIn, Kakadu National Park]
-
A.
hasAncestralLand
chosen
Indicates that an entity possesses land inherited from its ancestors or traditionally associated with its lineage.
-
B.
hasLandholdingsIn
Indicates that an entity owns or controls land or property located within a specified geographic area.
-
C.
ownedLandBy
Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with another entity.
-
D.
ownsLandFor
Indicates that one entity possesses or holds ownership rights to land for the benefit, use, or purpose of another entity.
-
E.
hasLandownershipInfluenceOn
Indicates that one entity’s ownership or control of land affects, shapes, or exerts power over another entity or situation.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dc196708190a1a1cf7b9068e1cd |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.