Triple
T25861670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrmecobius fasciatus |
E651491
|
entity |
| Predicate | hasTeethAdaptation |
P128829
|
FINISHED |
| Object | reduced teeth for soft 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: reduced teeth for soft prey | Statement: [Myrmecobius fasciatus, hasTeethAdaptation, reduced teeth for soft prey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeethAdaptation Context triple: [Myrmecobius fasciatus, hasTeethAdaptation, reduced teeth for soft prey]
-
A.
hasTeeth
Indicates that one entity possesses teeth as a physical feature.
-
B.
hasSnoutAdaptation
Indicates that an entity possesses a specific modification or specialized feature of its snout adapted for a particular function or environment.
-
C.
hasTeethCount
Indicates the specific number of teeth possessed by an entity.
-
D.
toothAdaptation
chosen
Indicates how an organism’s teeth are structurally or functionally modified in response to its diet, environment, or evolutionary pressures.
-
E.
teethSownBy
Indicates that teeth were deliberately planted or scattered by a particular agent or source.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 22, 2026, 8:05 a.m.