Triple
T5931544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claviceps purpurea |
E131948
|
entity |
| Predicate | ecotype |
P62263
|
FINISHED |
| Object | G1 ecotype infecting short-grass species |
—
|
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: G1 ecotype infecting short-grass species | Statement: [Claviceps purpurea, ecotype, G1 ecotype infecting short-grass species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecotype Context triple: [Claviceps purpurea, ecotype, G1 ecotype infecting short-grass species]
-
A.
ecotypeOf
chosen
Indicates that one entity is an ecotype, i.e., a locally adapted variant or form, of another entity within the same species.
-
B.
ecozone
Indicates that two entities stand in a biogeographical relationship where one is an ecological zone (ecozone) that characterizes or contains the other.
-
C.
ecoregion
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
D.
biome
Indicates the type of ecological environment or habitat in which an entity naturally exists or is situated.
-
E.
microhabitat
Indicates a specific, localized habitat or environmental niche within a larger habitat where an organism lives or an interaction occurs.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.