Triple
T10316077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pterois volitans |
E242017
|
entity |
| Predicate | introductionPathway |
P27773
|
FINISHED |
| Object | aquarium trade releases |
—
|
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: aquarium trade releases | Statement: [Pterois volitans, introductionPathway, aquarium trade releases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introductionPathway Context triple: [Pterois volitans, introductionPathway, aquarium trade releases]
-
A.
offersPathway
Indicates that one entity provides a route, means, or opportunity for another entity to reach, access, or transition to something.
-
B.
developmentPathwayFor
Indicates that one entity serves as a route, mechanism, or process through which the development or progression of another entity occurs.
-
C.
introductionContext
Indicates the situational or background circumstances under which an introduction between entities takes place.
-
D.
hasPathway
chosen
Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
-
E.
hasIntroduction
Indicates that one entity includes or provides an introductory section, part, or presentation for another entity.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f4f354819080b4ed4bc61bdff6 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:49 a.m.