Triple
T32940497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astronotus ocellatus |
E842650
|
entity |
| Predicate | aquariumTemperament |
P172874
|
FINISHED |
| Object | aggressive toward smaller fish |
—
|
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: aggressive toward smaller fish | Statement: [Astronotus ocellatus, aquariumTemperament, aggressive toward smaller fish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquariumTemperament Context triple: [Astronotus ocellatus, aquariumTemperament, aggressive toward smaller fish]
-
A.
aquariumBehavior
chosen
Indicates behavior or actions performed by an entity within the context of an aquarium environment.
-
B.
reefCompatibility
Indicates whether an entity can safely coexist with typical reef organisms without causing harm or disruption.
-
C.
aquariumSection
Indicates a specific section or area within an aquarium to which something (e.g., an exhibit, organism, or object) is assigned or located.
-
D.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
-
E.
aquariumTrade
Indicates that an entity is involved in the commercial trade or collection of organisms for keeping in aquariums.
- 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:20 a.m.