Triple
T15681658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groundhog Day festival |
E377590
|
entity |
| Predicate | weatherDependence |
P63557
|
FINISHED |
| Object | interpretation of sunlight and shadows |
—
|
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: interpretation of sunlight and shadows | Statement: [Groundhog Day festival, weatherDependence, interpretation of sunlight and shadows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weatherDependence Context triple: [Groundhog Day festival, weatherDependence, interpretation of sunlight and shadows]
-
A.
weatherCondition
Indicates the type of atmospheric state or weather pattern (e.g., sunny, rainy, snowy) affecting a location or time period.
-
B.
weatherConsideration
chosen
Indicates that certain conditions, decisions, or actions take into account or are influenced by the current or expected weather.
-
C.
weatherCapability
Indicates that an entity has the ability or functionality to provide, process, or otherwise handle weather-related information or services.
-
D.
weatherRole
Indicates a role or function that an entity has in relation to weather conditions or weather-related phenomena.
-
E.
hasWeather
Indicates that a location or environment is experiencing or characterized by a particular type of weather condition.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.