Triple
T11449430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle County Regional Airport |
E271353
|
entity |
| Predicate | hasSnowOperations |
P94610
|
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: [Eagle County Regional Airport, hasSnowOperations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSnowOperations Context triple: [Eagle County Regional Airport, hasSnowOperations, yes]
-
A.
hasSnowRemovalOperations
chosen
Indicates that an entity performs, manages, or is associated with activities related to removing snow from a specified area or infrastructure.
-
B.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
C.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
D.
hasSnowType
Indicates that something possesses or is characterized by a particular type or category of snow.
-
E.
hasSnowIn
Indicates that snow is present or occurs within a specified location or region.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.