Triple
T34152910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krkonoše ski resorts |
E876050
|
entity |
| Predicate | seasonalEconomy |
P53625
|
FINISHED |
| Object | winter sports industry |
—
|
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: winter sports industry | Statement: [Krkonoše ski resorts, seasonalEconomy, winter sports industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalEconomy Context triple: [Krkonoše ski resorts, seasonalEconomy, winter sports industry]
-
A.
seasonalCategory
Indicates that something is associated with, classified by, or relevant to a particular season or time of year.
-
B.
seasonalTourism
chosen
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
C.
seasonalOrder
Indicates the temporal ordering of events or states according to their position within a recurring seasonal cycle.
-
D.
seasonallyClosedDueTo
Indicates that access to or operation of something is temporarily halted during specific seasons because of particular conditions or regulations.
-
E.
economicActivityDuringFestival
Indicates that some form of economic activity (such as trade, sales, or services) occurs during the time period of a festival.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:54 a.m.