Triple
T8465187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution 1857 National Park |
E200142
|
entity |
| Predicate | hasDominantTreeGenus |
P25997
|
FINISHED |
| Object | Pinus |
—
|
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: Pinus | Statement: [Constitution 1857 National Park, hasDominantTreeGenus, Pinus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDominantTreeGenus Context triple: [Constitution 1857 National Park, hasDominantTreeGenus, Pinus]
-
A.
hasDominantSpecies
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
-
B.
dominantTree
Indicates that one tree has a dominant or prevailing influence over another tree, such as in size, canopy coverage, or competitive advantage within a shared environment.
-
C.
dominantTreeCommonName
Indicates the common (non-scientific) name of the tree species that is dominant in a given area or ecological context.
-
D.
hasGenus
chosen
Indicates that one entity belongs to, or is classified under, the biological genus represented by the other entity.
-
E.
dominantPlantFamily
Indicates that one plant family is the most prevalent or ecologically dominant group within a specified area, community, or context.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.