Triple
T9971383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littorina littorea |
E196211
|
entity |
| Predicate | shellSurface |
P22261
|
FINISHED |
| Object | smooth |
—
|
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: smooth | Statement: [Littorina littorea, shellSurface, smooth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shellSurface Context triple: [Littorina littorea, shellSurface, smooth]
-
A.
surfaceState
chosen
Indicates the physical condition or status of a surface, such as its texture, cleanliness, damage, or treatment at a given time.
-
B.
surfaceAccess
Indicates that one entity provides a means for another entity to reach, enter, or interact with a surface or outer layer.
-
C.
usesSurface
Indicates that one entity employs or interacts with another entity as a surface or platform for its action or function.
-
D.
shellType
Indicates the type or classification of a shell associated with an entity (e.g., its form, structure, or category).
-
E.
surfaceBrand
Indicates that a surface or physical object bears, displays, or is marked with a particular brand or branding.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b96b1c8190b9d3c1171346615a |
completed | April 2, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:48 p.m.