Triple
T15343930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nantahala National Forest |
E366866
|
entity |
| Predicate | notableTreeType |
P966
|
FINISHED |
| Object | old-growth hardwoods |
—
|
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 hardwoods | Statement: [Nantahala National Forest, notableTreeType, old-growth hardwoods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTreeType Context triple: [Nantahala National Forest, notableTreeType, old-growth hardwoods]
-
A.
notableTypeOf
Indicates that one entity is a particularly prominent, well-known, or exemplary instance or subtype of another entity.
-
B.
notableTreeSpecies
chosen
Indicates that the subject place or area is known for, or characterized by, the specified tree species.
-
C.
notableTargetType
Indicates that the subject is notable or significant specifically in relation to entities of the given target type.
-
D.
notableStoreType
Indicates that a store is particularly recognized or distinguished for being of a specified type (e.g., a notable example of that kind of store).
-
E.
notableHierarchy
Indicates that one entity holds a higher or more prominent rank, status, or level of importance relative to another within an ordered structure or system.
- 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_69e03e163a3c8190ab933411372c1573 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:17 a.m.