Triple
T15336461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Juan National Forest |
E366678
|
entity |
| Predicate | containsTreeSpecies |
P6742
|
FINISHED |
| Object | ponderosa pine |
—
|
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: ponderosa pine | Statement: [San Juan National Forest, containsTreeSpecies, ponderosa pine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsTreeSpecies Context triple: [San Juan National Forest, containsTreeSpecies, ponderosa pine]
-
A.
includesTimberGenus
Indicates that one entity contains or encompasses a timber-related genus as part of its composition or classification.
-
B.
hasTrees
chosen
Indicates that something possesses or contains one or more trees.
-
C.
notableTreeSpecies
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
-
D.
hasForestType
Indicates that an area or location is characterized by a specific type or classification of forest.
-
E.
isConifer
Indicates that the subject is a coniferous plant, typically bearing cones and having needle-like or scale-like evergreen leaves.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e11b22c81908280efe65acd5454 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:17 a.m.