Triple
T2924192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurisilva forest |
E78803
|
entity |
| Predicate | dominantTreeType |
P38050
|
FINISHED |
| Object | laurel trees |
—
|
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: laurel trees | Statement: [Laurisilva forest, dominantTreeType, laurel trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantTreeType Context triple: [Laurisilva forest, dominantTreeType, laurel trees]
-
A.
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.
-
B.
dominantInBranch
Indicates that one entity holds primary control, influence, or authority over others within a specific branch or subdivision of a larger structure or organization.
-
C.
hasDominantSpecies
chosen
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
-
D.
dominantEnvironment
Indicates the primary or prevailing environment or setting in which an entity most characteristically exists, operates, or exerts influence.
-
E.
dominantOn
Indicates that one entity exerts control, authority, or prevailing influence over another in a given context.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.