Triple
T32160976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhamdia |
E821424
|
entity |
| Predicate | hasEcotype |
P62263
|
FINISHED |
| Object | surface-dwelling populations |
—
|
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: surface-dwelling populations | Statement: [Rhamdia, hasEcotype, surface-dwelling populations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEcotype Context triple: [Rhamdia, hasEcotype, surface-dwelling populations]
-
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.
containsEcologicalTypes
Indicates that one entity includes or encompasses specific ecological types or categories within it.
-
C.
hasEcology
Indicates that an entity has a particular ecological context, such as its habitat, environmental role, or interactions within an ecosystem.
-
D.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
-
E.
hasAssociatedHabitat
Indicates that an entity is linked to a particular habitat in which it typically lives, occurs, or is found.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 12:32 a.m.