Triple
T1933613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osteichthyes |
E41399
|
entity |
| Predicate | mayHaveAccessoryRespiration |
P33586
|
FINISHED |
| Object | lungs in some Sarcopterygii |
—
|
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: lungs in some Sarcopterygii | Statement: [Osteichthyes, mayHaveAccessoryRespiration, lungs in some Sarcopterygii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayHaveAccessoryRespiration Context triple: [Osteichthyes, mayHaveAccessoryRespiration, lungs in some Sarcopterygii]
-
A.
hasRespiratorySystem
Indicates that an entity possesses a respiratory system, i.e., anatomical structures enabling breathing and gas exchange.
-
B.
breathes
Indicates that one entity inhales and exhales air or another gas as part of a respiratory process.
-
C.
respiration
Indicates the biological process by which an organism exchanges gases with its environment and converts nutrients into usable energy.
-
D.
oxygenRequirement
Indicates the level or type of oxygen needed by an entity to live, function, or operate.
-
E.
hasOrganSystem
Indicates that an entity possesses or is associated with a particular organ system as part of its biological structure or function.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb299f3c48190a5021d320ded4405 |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb20c4970819086e66a5435744297 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:35 p.m.