Triple
T6132603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Resort |
E136753
|
entity |
| Predicate | primarySnowSource |
P69360
|
FINISHED |
| Object | natural snowfall |
—
|
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: natural snowfall | Statement: [Brighton Resort, primarySnowSource, natural snowfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySnowSource Context triple: [Brighton Resort, primarySnowSource, natural snowfall]
-
A.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
B.
primaryRainfallSource
Indicates that one entity is the main origin or contributing source of rainfall for another entity or region.
-
C.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
D.
majorRiverSource
Indicates that one entity is the primary originating source or headwaters location of a major river.
-
E.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c509848819089a2b2b58744bc25 |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:15 p.m.