Triple
T26407931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eupleres goudotii |
E663881
|
entity |
| Predicate | hasTeethAdaptedFor |
P170348
|
FINISHED |
| Object | soft-bodied prey |
—
|
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: soft-bodied prey | Statement: [Eupleres goudotii, hasTeethAdaptedFor, soft-bodied prey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeethAdaptedFor Context triple: [Eupleres goudotii, hasTeethAdaptedFor, soft-bodied prey]
-
A.
hasTeeth
Indicates that one entity possesses teeth as a physical feature.
-
B.
hasTeethCount
Indicates the specific number of teeth possessed by an entity.
-
C.
gnawingBehavior
Indicates a relationship where an entity persistently chews or bites another entity, typically causing gradual wear or damage.
-
D.
hasSnoutAdaptation
Indicates that an entity possesses a specific modification or specialized feature of its snout adapted for a particular function or environment.
-
E.
toothedOrBaleen
Indicates whether an animal possesses teeth or baleen as its primary oral feeding structure.
- F. None of above. chosen
Provenance (4 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 26, 2026, 11:36 p.m.