Triple
T17582873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vetigastropoda |
E428246
|
entity |
| Predicate | shellForm |
P11599
|
FINISHED |
| Object | usually coiled |
—
|
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: usually coiled | Statement: [Vetigastropoda, shellForm, usually coiled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shellForm Context triple: [Vetigastropoda, shellForm, usually coiled]
-
A.
usesForm
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
-
B.
daemonForms
Indicates that one entity takes the form of, manifests as, or is represented by a daemon associated with another entity.
-
C.
typicalScriptForm
Indicates the usual or standard written script or notation in which something is commonly represented.
-
D.
nativeForm
Indicates that one entity is the original or native linguistic form of another, such as a word’s form in its source language.
-
E.
visualForm
chosen
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463cf556881908d2935b3761f65df |
completed | April 19, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.