Triple
T12716747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nefud Desert |
E303862
|
entity |
| Predicate | hasLandformCharacteristic |
P940
|
FINISHED |
| Object | towering dunes |
—
|
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: towering dunes | Statement: [Nefud Desert, hasLandformCharacteristic, towering dunes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandformCharacteristic Context triple: [Nefud Desert, hasLandformCharacteristic, towering dunes]
-
A.
hasLandform
chosen
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
B.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
C.
hasNaturalFeature
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
D.
physicalFeature
Indicates that one entity possesses or exhibits a particular physical characteristic or attribute.
-
E.
hasLandformOrigin
Indicates that something originates from, or is formed by, a particular landform.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.