Triple
T25089202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Forest |
E628405
|
entity |
| Predicate | ageClassOfTrees |
P157630
|
FINISHED |
| Object | old-growth ponderosa pines |
—
|
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: old-growth ponderosa pines | Statement: [Lost Forest, ageClassOfTrees, old-growth ponderosa pines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageClassOfTrees Context triple: [Lost Forest, ageClassOfTrees, old-growth ponderosa pines]
-
A.
standAge
Indicates the age or time duration that a particular stand (e.g., a forest stand or grouped vegetation area) has existed or been established.
-
B.
treeLongevity
Indicates the duration or lifespan of a tree, typically measured from planting or germination to death or removal.
-
C.
ageType
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
-
D.
commonTreeType
Indicates that two or more entities share the same type or classification of tree.
-
E.
numberOfTrees
Indicates the count or quantity of trees associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461e7fe048190adfaf71724f707e3 |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:24 a.m.