Triple
T28517392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokolče, Czechoslovakia |
E721656
|
entity |
| Predicate | regionBeforeSubmergence |
P139432
|
FINISHED |
| Object | northern Slovakia |
—
|
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: northern Slovakia | Statement: [Sokolče, Czechoslovakia, regionBeforeSubmergence, northern Slovakia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionBeforeSubmergence Context triple: [Sokolče, Czechoslovakia, regionBeforeSubmergence, northern Slovakia]
-
A.
preSubmergenceLandscape
Indicates the landscape configuration or conditions that existed before an area was submerged under water.
-
B.
submergedBy
Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
-
C.
impactOfSubmergence
Indicates the effect or consequences that submerging one entity (typically in a fluid or environment) has on another entity or on its properties.
-
D.
notableNearbyFeatureBeforeSubmergence
chosen
Indicates that a location had a particular notable nearby feature prior to being submerged or flooded.
-
E.
preSubmergenceElevation
Indicates the elevation or height of something before it becomes submerged or covered by water.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: April 28, 2026, 3:18 a.m.