Triple
T2597465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azov-Black Sea waterway system |
E58264
|
entity |
| Predicate | linkedVia |
P37
|
FINISHED |
| Object | straits and canals |
—
|
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: straits and canals | Statement: [Azov-Black Sea waterway system, linkedVia, straits and canals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedVia Context triple: [Azov-Black Sea waterway system, linkedVia, straits and canals]
-
A.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
-
B.
linkedPosition
Indicates that one position is associated or connected to another position in a defined way.
-
C.
linkedDocument
Indicates that one document is associated with or references another document in a meaningful way.
-
D.
linkedCity
Indicates that two entities are associated with each other through a specific city, such as being located in, connected via, or related by that city.
-
E.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4548b1081909d28f88ea5e14202 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.