Triple
T18165422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وادي عربة |
E434879
|
entity |
| Predicate | الارتفاع النسبي |
P19604
|
FINISHED |
| Object | أدنى من الهضاب المحيطة |
—
|
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: أدنى من الهضاب المحيطة | Statement: [وادي عربة, الارتفاع النسبي, أدنى من الهضاب المحيطة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الارتفاع النسبي Context triple: [وادي عربة, الارتفاع النسبي, أدنى من الهضاب المحيطة]
-
A.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
B.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
C.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
-
D.
hasRelativeRelief
chosen
Indicates a relationship where one entity is characterized by the degree of variation in elevation or relief relative to another reference entity or area.
-
E.
relativeHeightAboveCity
Indicates the vertical height of an entity measured above the reference elevation level of a specified city.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec71b7881908d123d0cea3adf1f |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.