Triple
T23953047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Шхара |
E603101
|
entity |
| Predicate | имеетВысотуНадУровнемМоря |
P114161
|
FINISHED |
| Object | 5201 м |
—
|
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: 5201 м | Statement: [Шхара, имеетВысотуНадУровнемМоря, 5201 м]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетВысотуНадУровнемМоря Context triple: [Шхара, имеетВысотуНадУровнемМоря, 5201 м]
-
A.
hasElevationRelativeToSeaLevel
chosen
Indicates the elevation or height of an entity measured relative to mean sea level.
-
B.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
C.
hasTypicalElevationRelativeTo
Indicates the usual height or altitude of one entity in comparison to a referenced baseline or other entity.
-
D.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
-
E.
hasApproxElevationFeet
Indicates that an entity is associated with an elevation value measured in feet that is approximate rather than exact.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d558748190a51b5732a3e6713c |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.