Triple
T12700362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paracanthurus hepatus |
E303443
|
entity |
| Predicate | aquariumDifficulty |
P95121
|
FINISHED |
| Object | moderate to difficult |
—
|
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: moderate to difficult | Statement: [Paracanthurus hepatus, aquariumDifficulty, moderate to difficult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquariumDifficulty Context triple: [Paracanthurus hepatus, aquariumDifficulty, moderate to difficult]
-
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.
aquariumRequirement
chosen
Indicates that an entity has specific needs or conditions related to being kept in an aquarium.
-
C.
aquariumCount
Indicates the number of aquariums associated with a given entity.
-
D.
aquariumTrade
Indicates that an entity is involved in the commercial trade or collection of organisms for keeping in aquariums.
-
E.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:22 p.m.