Triple
T34762649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rana amurensis |
E1002107
|
entity |
| Predicate | canSurviveTemperature |
P40203
|
FINISHED |
| Object | below 0 °C |
—
|
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: below 0 °C | Statement: [Rana amurensis, canSurviveTemperature, below 0 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSurviveTemperature Context triple: [Rana amurensis, canSurviveTemperature, below 0 °C]
-
A.
hasTemperatureRegime
Indicates that an entity is characterized by or associated with a particular pattern or regime of temperature conditions.
-
B.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
C.
growthTemperatureRange
chosen
Indicates the range of temperatures within which an organism or entity can grow or function effectively.
-
D.
hasHigherColdSensitivityThan
Indicates that one entity is more sensitive or reactive to cold conditions than another entity.
-
E.
killedAtTemperature
Indicates that an entity was killed or rendered non-viable when exposed to a specified temperature.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.