Triple
T12730671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wunambal people |
E304226
|
entity |
| Predicate | haveHistoricalExperience |
P99136
|
FINISHED |
| Object | colonial contact in the Kimberley region |
—
|
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: colonial contact in the Kimberley region | Statement: [Wunambal people, haveHistoricalExperience, colonial contact in the Kimberley region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveHistoricalExperience Context triple: [Wunambal people, haveHistoricalExperience, colonial contact in the Kimberley region]
-
A.
hasGlobalExperience
Indicates that an entity possesses experience gained from working, operating, or engaging across multiple countries or international contexts.
-
B.
hasHistoryOf
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
C.
hasLongHistory
Indicates that the relationship or subject has existed or persisted over a long period of time.
-
D.
hasHistoryIn
chosen
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
E.
hasExperienceInLeague
Indicates that an entity has previously participated or been involved in a particular league.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:25 p.m.