Triple
T20729311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latji Latji people |
E509524
|
entity |
| Predicate | usesFireManagement |
P127559
|
FINISHED |
| Object | cultural burning practices |
—
|
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: cultural burning practices | Statement: [Latji Latji people, usesFireManagement, cultural burning practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFireManagement Context triple: [Latji Latji people, usesFireManagement, cultural burning practices]
-
A.
hasFireRegime
Indicates that an area or ecosystem is characterized by a particular pattern, frequency, and intensity of fires over time.
-
B.
fireEcologyRole
chosen
Indicates the role or function an entity has in ecological processes related to fire, such as how it influences, responds to, or depends on fire within an ecosystem.
-
C.
wildfireRisk
Indicates the likelihood or potential severity of wildfires occurring in a given area or under specific conditions.
-
D.
methodOfKillingWildfire
Indicates the method or technique used to kill or extinguish a wildfire.
-
E.
hasConservationManagementBy
Indicates that an entity is subject to conservation management activities carried out or overseen by a specified agent or 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1eb5d44819082d9fa410e676d91 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:30 p.m.