Triple
T1809887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sciuromorpha |
E40306
|
entity |
| Predicate | gnawingAdaptation |
P2375
|
FINISHED |
| Object | enlarged incisors |
—
|
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: enlarged incisors | Statement: [Sciuromorpha, gnawingAdaptation, enlarged incisors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gnawingAdaptation Context triple: [Sciuromorpha, gnawingAdaptation, enlarged incisors]
-
A.
adaptation
Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
-
B.
adaptationType
chosen
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
C.
beakShapeAdaptedTo
Indicates that an organism’s beak shape is specifically suited or modified to function effectively in a particular environment, diet, or ecological role.
-
D.
adaptationBy
Indicates a relationship where one entity has been modified, transformed, or reworked by another entity into a new form or version.
-
E.
isFrequentlyAdapted
Indicates that a work or source material is often transformed or re-created into new formats or versions, such as films, plays, or other media.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.