Triple
T35812031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | სომხეთი |
E1035255
|
entity |
| Predicate | formerHighestPoint |
P210
|
FINISHED |
| Object | არარატი |
—
|
NE NERFINISHED |
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: არარატი | Statement: [სომხეთი, formerHighestPoint, არარატი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerHighestPoint Context triple: [სომხეთი, formerHighestPoint, არარატი]
-
A.
highestPoint
chosen
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
B.
trailHighPointOf
Indicates that one location is the highest elevation point along a specified trail or route.
-
C.
containsHighestPointOf
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
-
D.
nearHighestPeakOf
Indicates that one entity is located close to the highest peak of another referenced geographic or topographic feature.
-
E.
hasHighestElevationsOf
Indicates that one entity possesses the greatest elevation values (e.g., altitudes or heights) compared to another entity or set of 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0075be7f54819081ab12bc1dab53bb |
completed | May 10, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_6a0073a19030819098c23faa3adcb96e |
completed | May 10, 2026, 12:01 p.m. |
Created at: May 3, 2026, 4:06 p.m.