Triple
T32163376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zalishchyky |
E821488
|
entity |
| Predicate | hasWarmerWintersThan |
P181269
|
FINISHED |
| Object | much of Ternopil Oblast |
—
|
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: much of Ternopil Oblast | Statement: [Zalishchyky, hasWarmerWintersThan, much of Ternopil Oblast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWarmerWintersThan Context triple: [Zalishchyky, hasWarmerWintersThan, much of Ternopil Oblast]
-
A.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
-
B.
hasLongWinterSeason
Indicates that the referenced entity experiences a winter season that lasts for an extended or unusually long period of time.
-
C.
hasWinterSeason
Indicates that an entity experiences or includes a distinct winter season within its annual climate or temporal cycle.
-
D.
hasSnowClimate
Indicates that a location or region experiences a climate characterized by regular or significant snowfall.
-
E.
hasFrozenInWinter
Indicates that something becomes or has become frozen during the winter season.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: May 1, 2026, 12:33 a.m.