Triple
T4537252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durmitor National Park |
E107435
|
entity |
| Predicate | winterSportCentre |
P16745
|
FINISHED |
| Object | Žabljak ski resort |
—
|
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: Žabljak ski resort | Statement: [Durmitor National Park, winterSportCentre, Žabljak ski resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterSportCentre Context triple: [Durmitor National Park, winterSportCentre, Žabljak ski resort]
-
A.
alpineSkiingVenue
chosen
Indicates that one entity serves as a venue or location where alpine skiing activities or events take place in relation to another entity.
-
B.
hasWinterSportsSeason
Indicates that an entity participates in, is associated with, or has a defined period for winter sports activities or competitions.
-
C.
crossCountrySkiingVenue
Indicates that a location serves as a venue or site where cross-country skiing activities or events take place.
-
D.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
-
E.
iceRinkType
Indicates the specific kind or category of an ice rink associated with an entity (e.g., indoor, outdoor, Olympic-sized).
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.