Triple
T9532038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misgurnus anguillicaudatus |
E229918
|
entity |
| Predicate | usesAccessoryRespiration |
P33586
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Misgurnus anguillicaudatus, usesAccessoryRespiration, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAccessoryRespiration Context triple: [Misgurnus anguillicaudatus, usesAccessoryRespiration, yes]
-
A.
mayHaveAccessoryRespiration
chosen
Indicates that an entity can exhibit or be associated with an additional or auxiliary form of respiration beyond its primary respiratory process.
-
B.
usedSupplementaryOxygen
Indicates that an entity received or utilized additional oxygen support beyond normal atmospheric breathing, typically via medical equipment.
-
C.
hasRespiratorySystem
Indicates that an entity possesses a respiratory system, i.e., anatomical structures enabling breathing and gas exchange.
-
D.
breathes
Indicates that one entity inhales and exhales air or another gas as part of a respiratory process.
-
E.
respiration
Indicates the biological process by which an organism exchanges gases with its environment and converts nutrients into usable energy.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b5651881908241b040f123c6a8 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.