Triple
T2741321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yankunytjatjara |
E60754
|
entity |
| Predicate | hasKnowledgeSystem |
P22660
|
FINISHED |
| Object | detailed ecological knowledge of desert environments |
—
|
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: detailed ecological knowledge of desert environments | Statement: [Yankunytjatjara, hasKnowledgeSystem, detailed ecological knowledge of desert environments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKnowledgeSystem Context triple: [Yankunytjatjara, hasKnowledgeSystem, detailed ecological knowledge of desert environments]
-
A.
hasAcademicSystem
Indicates that an entity is associated with or operates under a particular academic or educational system.
-
B.
usesKnowledgeOf
Indicates that one entity applies or draws upon the knowledge possessed by another entity in performing an action or achieving a result.
-
C.
knowledgeType
Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
-
D.
knows
chosen
Indicates that one entity has knowledge or awareness of another entity or piece of information.
-
E.
hasNavigationKnowledge
Indicates that an entity possesses information or expertise related to navigating or determining routes within an environment or system.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb2f210881909126307cc92ebfef |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.