Triple
T26707767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurasian wren |
E673325
|
entity |
| Predicate | coldWeatherSensitivity |
P161149
|
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: [Eurasian wren, coldWeatherSensitivity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coldWeatherSensitivity Context triple: [Eurasian wren, coldWeatherSensitivity, high]
-
A.
hasHigherColdSensitivityThan
Indicates that one entity is more sensitive or reactive to cold conditions than another entity.
-
B.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
C.
hasFrozenInWinter
Indicates that something becomes or has become frozen during the winter season.
-
D.
windChill
Indicates the perceived decrease in air temperature felt by a body due to the combined effect of wind speed and actual air temperature.
-
E.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
- 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617bb5a38819099dace3392694896 |
completed | May 2, 2026, 3:26 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:34 a.m.