Triple
T10848835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | blue grama |
E256086
|
entity |
| Predicate | isDominantSpeciesIn |
P38050
|
FINISHED |
| Object | shortgrass grassland ecosystems |
—
|
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: shortgrass grassland ecosystems | Statement: [blue grama, isDominantSpeciesIn, shortgrass grassland ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDominantSpeciesIn Context triple: [blue grama, isDominantSpeciesIn, shortgrass grassland ecosystems]
-
A.
hasDominantSpecies
chosen
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
-
B.
hasLargestSpecies
Indicates that one entity possesses, contains, or is associated with the species that is largest in size or extent within a given group or context.
-
C.
dominantLifeformType
Indicates which type of lifeform holds primary dominance or control within a given context or environment.
-
D.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
-
E.
dominantCommunity
Indicates that one community holds a prevailing or controlling influence, status, or presence over others within a given 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75114ca988190a0e730131adb2df0 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.