Triple
T11795916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nové Zámky |
E280504
|
entity |
| Predicate | hasNearbyRiverFeature |
P49291
|
FINISHED |
| Object | Nitra River floodplain |
—
|
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: Nitra River floodplain | Statement: [Nové Zámky, hasNearbyRiverFeature, Nitra River floodplain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyRiverFeature Context triple: [Nové Zámky, hasNearbyRiverFeature, Nitra River floodplain]
-
A.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
B.
nearbyRiverProject
Indicates that there is a project located close to or associated with a nearby river.
-
C.
nearbyWatercourse
Indicates that one entity is located close to or alongside a natural or artificial watercourse, such as a river, stream, or canal.
-
D.
hasNearbyWater
chosen
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
E.
locatedInRiverArea
Indicates that one entity is situated within the geographic area occupied by, adjacent to, or directly associated with a particular river.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a1cda0819092d66a82fd882786 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.