Triple
T36272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redwood National and State Parks |
E717
|
entity |
| Predicate | primaryTreeSpecies |
P966
|
FINISHED |
| Object | coast redwood |
—
|
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: coast redwood | Statement: [Redwood National and State Parks, primaryTreeSpecies, coast redwood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTreeSpecies Context triple: [Redwood National and State Parks, primaryTreeSpecies, coast redwood]
-
A.
notableTreeSpecies
chosen
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
-
B.
primaryEcosystem
Indicates the main type of ecosystem in which an entity predominantly exists or operates.
-
C.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
D.
parentVariety
Indicates that one variety is the direct parent or source variety from which another variety is derived or developed.
-
E.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24bb753f081909cd8b25cfb8e08af |
completed | Feb. 28, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69a24ab4a6908190b6f355415ffe7948 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.