Triple
T22358996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmanova |
E552728
|
entity |
| Predicate | typicalWeatherWinter |
P132755
|
FINISHED |
| Object | mild and wetter |
—
|
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: mild and wetter | Statement: [Palmanova, typicalWeatherWinter, mild and wetter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWeatherWinter Context triple: [Palmanova, typicalWeatherWinter, mild and wetter]
-
A.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
B.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
-
C.
typicalWeatherFeature
chosen
Indicates a weather condition or pattern that commonly characterizes a place or time period.
-
D.
winterStatus
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
E.
minimumWinterTemperature
Indicates the lowest temperature typically experienced during the winter season for the subject entity.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d2b9fc81909e09a1c48664b895 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.