Triple
T5931482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aspergillus fumigatus |
E131947
|
entity |
| Predicate | thermotolerance |
P582
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Aspergillus fumigatus, thermotolerance, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermotolerance Context triple: [Aspergillus fumigatus, thermotolerance, high]
-
A.
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.
-
B.
temperatureDependent
Indicates that the existence, intensity, or outcome of a relationship or process varies as a function of temperature.
-
C.
pestResistance
Indicates that an entity has the ability to withstand, deter, or remain unaffected by damage or harm caused by pests.
-
D.
sporeResistance
Indicates the degree to which an entity can withstand or remain unaffected by spores or spore-related effects.
-
E.
hardiness
Indicates the degree to which an entity can withstand or endure harsh, adverse, or challenging conditions.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.