Triple
T36288832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahna Desert |
E893164
|
entity |
| Predicate | hasSandColorCause |
P190089
|
FINISHED |
| Object | iron oxide content |
—
|
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: iron oxide content | Statement: [Dahna Desert, hasSandColorCause, iron oxide content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSandColorCause Context triple: [Dahna Desert, hasSandColorCause, iron oxide content]
-
A.
hasSandColor
Indicates that one entity possesses or exhibits the sand-like color of another entity or color value.
-
B.
hasSand
Indicates that something contains, is covered with, or is characterized by the presence of sand.
-
C.
hasSoilColor
Indicates that an entity possesses soil characterized by a specific color.
-
D.
hasWaterColorCause
Indicates that one entity is the cause or reason for the particular color or coloration of another entity’s water.
-
E.
colorOfSediment
Indicates the specific color or coloration characteristic associated with a given sediment.
- F. None of above. chosen
Provenance (4 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:09 p.m.