Triple
T31643613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ancistrus cirrhosus |
E807523
|
entity |
| Predicate | aquariumBehavior |
P172874
|
FINISHED |
| Object | generally peaceful |
—
|
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: generally peaceful | Statement: [Ancistrus cirrhosus, aquariumBehavior, generally peaceful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquariumBehavior Context triple: [Ancistrus cirrhosus, aquariumBehavior, generally peaceful]
-
A.
aquariumSection
Indicates a specific section or area within an aquarium to which something (e.g., an exhibit, organism, or object) is assigned or located.
-
B.
aquariumRole
Indicates the specific function, duty, or position an entity holds within the context of an aquarium.
-
C.
aquariumTrade
Indicates that an entity is involved in the commercial trade or collection of organisms for keeping in aquariums.
-
D.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
-
E.
aquariumRequirement
Indicates that an entity has specific needs or conditions related to being kept in an aquarium.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 30, 2026, 10:50 p.m.