Triple
T32163377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zalishchyky |
E821488
|
entity |
| Predicate | hasLongerGrowingSeasonThan |
P195908
|
FINISHED |
| Object | surrounding areas |
—
|
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: surrounding areas | Statement: [Zalishchyky, hasLongerGrowingSeasonThan, surrounding areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongerGrowingSeasonThan Context triple: [Zalishchyky, hasLongerGrowingSeasonThan, surrounding areas]
-
A.
hasLongWinterSeason
Indicates that the referenced entity experiences a winter season that lasts for an extended or unusually long period of time.
-
B.
hasWarmerWintersThan
Indicates that the typical winter temperatures in one entity are higher than those in another entity.
-
C.
growingSeason
Indicates the period of the year during which growth or development actively occurs for the referenced entity.
-
D.
isHarvestedInTemperateRegions
Indicates that the harvesting of the subject occurs in geographic areas characterized by a temperate climate.
-
E.
hasHotDrySeason
Indicates that a place experiences a distinct period characterized by hot and dry climatic conditions.
- 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_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69fdee75d1408190bba58a9cef200a54 |
completed | May 8, 2026, 2:08 p.m. |
Created at: May 1, 2026, 12:33 a.m.