Triple
T1933779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euryarchaeota |
E41402
|
entity |
| Predicate | oxygenTolerance |
P582
|
FINISHED |
| Object | some species are aerotolerant |
—
|
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: some species are aerotolerant | Statement: [Euryarchaeota, oxygenTolerance, some species are aerotolerant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oxygenTolerance Context triple: [Euryarchaeota, oxygenTolerance, some species are aerotolerant]
-
A.
oxygenRequirement
Indicates the level or type of oxygen needed by an entity to live, function, or operate.
-
B.
oxygenValueApprox
Indicates that the oxygen value of an entity is approximately equal to a specified reference value, within an acceptable margin of error.
-
C.
tolerates
chosen
Indicates that one entity endures, accepts, or allows the presence, behavior, or condition of another entity without intervening to stop or change it.
-
D.
breathes
Indicates that one entity inhales and exhales air or another gas as part of a respiratory process.
-
E.
designedToWithstand
Indicates that something has been intentionally created or engineered to resist, endure, or remain functional under specified conditions, forces, or stresses.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29b51408190afb2f918814e68c7 |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.