Triple
T8574647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portage, Indiana |
E203016
|
entity |
| Predicate | lakeEffectSnow |
P39801
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Portage, Indiana, lakeEffectSnow, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeEffectSnow Context triple: [Portage, Indiana, lakeEffectSnow, yes]
-
A.
featuresSnowEffects
Indicates that something includes or displays visual or environmental effects related to falling or accumulated snow.
-
B.
hasSnowfall
chosen
Indicates that a location or area experiences or contains snowfall.
-
C.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
D.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
E.
snowmaking
Indicates the artificial production of snow, typically by machines, for use in places like ski slopes or winter recreation areas.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea947f188190af469babaa73ddf6 |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:21 p.m.