Triple
T36772187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redwood forests of the Santa Cruz Mountains |
E908507
|
entity |
| Predicate | treeAgePotential |
P45717
|
FINISHED |
| Object | over 1000 years for individual 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: over 1000 years for individual trees | Statement: [Redwood forests of the Santa Cruz Mountains, treeAgePotential, over 1000 years for individual trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeAgePotential Context triple: [Redwood forests of the Santa Cruz Mountains, treeAgePotential, over 1000 years for individual trees]
-
A.
treeLongevity
chosen
Indicates the duration or lifespan of a tree, typically measured from planting or germination to death or removal.
-
B.
ageClassOfTrees
Indicates the classification of trees based on their age or developmental stage.
-
C.
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.
-
D.
treeVigor
Indicates the overall health, strength, and growth potential of a tree based on its physiological condition and environmental factors.
-
E.
estimatedAgeYears
Indicates the approximate number of years assigned as an entity’s age based on estimation rather than exact measurement.
- 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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.