Triple
T26027134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | מכתש רמון |
E647323
|
entity |
| Predicate | רוחב מרבי משוער |
P619
|
FINISHED |
| Object | כ-9 קילומטרים |
—
|
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: כ-9 קילומטרים | Statement: [מכתש רמון, רוחב מרבי משוער, כ-9 קילומטרים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: רוחב מרבי משוער Context triple: [מכתש רמון, רוחב מרבי משוער, כ-9 קילומטרים]
-
A.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
B.
thickestIn
Indicates that one entity has the greatest thickness among a specified set or within a given context.
-
C.
width
chosen
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
D.
largestFigureLengthApprox
Indicates an approximate measurement of the length of the largest figure involved in the relationship or context.
-
E.
typicalRangeMaximum_km
Indicates the maximum distance, in kilometers, that is typically observed or expected for the range of something.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605ec65448190895219d85eb0d6a8 |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:05 a.m.