Triple
T12818724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamporovo |
E306470
|
entity |
| Predicate | hasSkiSeason |
P43333
|
FINISHED |
| Object | December to April |
—
|
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: December to April | Statement: [Pamporovo, hasSkiSeason, December to April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiSeason Context triple: [Pamporovo, hasSkiSeason, December to April]
-
A.
hasWinterSportsSeason
chosen
Indicates that an entity participates in, is associated with, or has a defined period for winter sports activities or competitions.
-
B.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
C.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
-
D.
hasSkiResortType
Indicates that an entity is associated with, or classified by, a specific type or category of ski resort.
-
E.
hasSkiCenter
Indicates that a location or entity possesses or hosts a ski center as one of its facilities or features.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9d00088190ac0f5d60e1de7a7c |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d964100f7481909a197396003d4a71 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.