Triple
T12569289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuart Forest National Park |
E295557
|
entity |
| Predicate | hasCommonNameOfDominantTree |
P80238
|
FINISHED |
| Object | tuart |
—
|
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: tuart | Statement: [Tuart Forest National Park, hasCommonNameOfDominantTree, tuart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonNameOfDominantTree Context triple: [Tuart Forest National Park, hasCommonNameOfDominantTree, tuart]
-
A.
hasScientificNameOfDominantTree
Indicates the scientific (Latin) name of the tree species that is dominant in a given area or context.
-
B.
dominantTreeCommonName
chosen
Indicates the common (non-scientific) name of the tree species that is dominant in a given area or ecological context.
-
C.
hasSurroundingTreeCommonName
Indicates that an entity is associated with a surrounding tree identified by its common (vernacular) name.
-
D.
dominantTree
Indicates that one tree has a dominant or prevailing influence over another tree, such as in size, canopy coverage, or competitive advantage within a shared environment.
-
E.
hasDominantSpecies
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:50 p.m.