Triple
T36702870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plancterus |
E906276
|
entity |
| Predicate | vertebrateType |
P25733
|
FINISHED |
| Object | bony 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: bony fish | Statement: [Plancterus, vertebrateType, bony fish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vertebrateType Context triple: [Plancterus, vertebrateType, bony fish]
-
A.
vertebrate
chosen
Indicates that the subject is an animal possessing a backbone or spinal column.
-
B.
invertebrateFauna
Indicates that the subject has or is associated with a collection or community of animals lacking a vertebral column (invertebrates).
-
C.
majorityOfVertebrates
Indicates that a specified property, condition, or characteristic holds for more than half of the members within the group of vertebrate animals.
-
D.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
E.
isArthropod
Indicates that an entity belongs to the group of animals characterized by jointed limbs, segmented bodies, and exoskeletons.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7ee28c88190ad3f7adabd4650fc |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.