Triple
T25894374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Škurda River |
E652425
|
entity |
| Predicate | hasEstuaryEnvironment |
P159548
|
FINISHED |
| Object | coastal Mediterranean climate zone |
—
|
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: coastal Mediterranean climate zone | Statement: [Škurda River, hasEstuaryEnvironment, coastal Mediterranean climate zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEstuaryEnvironment Context triple: [Škurda River, hasEstuaryEnvironment, coastal Mediterranean climate zone]
-
A.
hasEstuaryAt
Indicates that a river or watercourse flows into and meets a larger body of water (such as a sea, ocean, or lake) at a specific location.
-
B.
hasEstuaryType
Indicates the specific type or classification of an estuary associated with a given water body or location.
-
C.
hasEstuaryWith
Indicates that a river or watercourse flows into and forms an estuary with a particular body of water.
-
D.
hasEstuaryNear
Indicates that the estuary of a water body is located in close proximity to a specified place or feature.
-
E.
hasEstuarySection
Indicates that a watercourse includes a section where it widens and meets a larger body of water, forming an estuary.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60382d4648190819e373a0880b74c |
completed | May 2, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:22 a.m.