Triple
T31643553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pterygoplichthys pardalis |
E807522
|
entity |
| Predicate | typicalAquariumLength |
P207479
|
FINISHED |
| Object | 30 to 40 cm |
—
|
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: 30 to 40 cm | Statement: [Pterygoplichthys pardalis, typicalAquariumLength, 30 to 40 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAquariumLength Context triple: [Pterygoplichthys pardalis, typicalAquariumLength, 30 to 40 cm]
-
A.
aquariumRequirement
Indicates that an entity has specific needs or conditions related to being kept in an aquarium.
-
B.
aquariumSection
Indicates a specific section or area within an aquarium to which something (e.g., an exhibit, organism, or object) is assigned or located.
-
C.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
-
D.
aquarium
Indicates that an entity is an aquarium, i.e., a container or facility where aquatic organisms are kept or displayed.
-
E.
aquariumCount
Indicates the number of aquariums associated with a given entity.
- 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_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 30, 2026, 10:50 p.m.