Triple
T16494923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velella velella |
E400656
|
entity |
| Predicate | orientationOfSail |
P123759
|
FINISHED |
| Object | oblique to body axis |
—
|
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: oblique to body axis | Statement: [Velella velella, orientationOfSail, oblique to body axis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationOfSail Context triple: [Velella velella, orientationOfSail, oblique to body axis]
-
A.
sailArea
Indicates the total surface area of a vessel’s sails used to catch wind for propulsion.
-
B.
sailDesign
Indicates a design relationship where one entity specifies or defines the shape, structure, or configuration of a sail used for propulsion.
-
C.
sailingUnder
Indicates that one entity (typically a vessel) is operating or traveling while registered, flagged, or officially recognized under the authority or jurisdiction of another entity (such as a country or organization).
-
D.
sailNumber
Indicates the identifying number assigned to a specific sail or sailing vessel, typically used to distinguish it from others.
-
E.
sailingDiscipline
Indicates a specific category or type of sailing activity or competition in which an entity participates or is involved.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e3276b88190946a669b4d893a54 |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.