Triple
T16494922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velella velella |
E400656
|
entity |
| Predicate | strandings |
P106999
|
FINISHED |
| Object | often mass-stranded on beaches |
—
|
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: often mass-stranded on beaches | Statement: [Velella velella, strandings, often mass-stranded on beaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strandings Context triple: [Velella velella, strandings, often mass-stranded on beaches]
-
A.
strandedWith
Indicates that one entity is stuck or left without means to leave in the company or presence of another entity.
-
B.
settingOfStranding
chosen
Indicates the location or environmental context in which a stranding event occurs.
-
C.
reasonForStranding
Indicates the cause or circumstance that led to an entity becoming stranded.
-
D.
strandedLocationType
Indicates the type or category of place where an entity is stranded.
-
E.
shipwreckUse
Indicates that an entity makes use of, interacts with, or derives benefit from a shipwreck.
- 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_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. |
Created at: April 10, 2026, 5:14 a.m.