Triple
T24884167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Клязьма |
E622801
|
entity |
| Predicate | имеет гидрологический тип |
P26466
|
FINISHED |
| Object | равнинная река |
—
|
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: равнинная река | Statement: [Клязьма, имеет гидрологический тип, равнинная река]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеет гидрологический тип Context triple: [Клязьма, имеет гидрологический тип, равнинная река]
-
A.
hasHydrologicalType
chosen
Indicates a relationship where an entity is classified according to its hydrological category or type (e.g., river, lake, aquifer).
-
B.
hasHydrologicalRegime
Indicates that one entity (typically a water body or hydrological system) is characterized by, or associated with, a particular pattern or regime of water flow and levels over time.
-
C.
имеет гидроузел
Indicates that one entity possesses or includes a hydraulic engineering structure (such as a dam, lock, or similar water-control facility) as part of its infrastructure or territory.
-
D.
hasTypicalIceRegime
Indicates that there is a characteristic or commonly occurring pattern of ice conditions associated with the referenced entity.
-
E.
тип реки
Indicates the classification or category of a river based on its characteristics or role.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 5:25 a.m.