Triple
T31803966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deglet Nour |
E811817
|
entity |
| Predicate | hasRelativeDryness |
P42283
|
FINISHED |
| Object | drier than Medjool |
—
|
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: drier than Medjool | Statement: [Deglet Nour, hasRelativeDryness, drier than Medjool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeDryness Context triple: [Deglet Nour, hasRelativeDryness, drier than Medjool]
-
A.
canDryOut
Indicates that one entity has the ability or tendency to cause another entity to lose moisture and become dry.
-
B.
hasHumidity
Indicates that one entity possesses, exhibits, or is characterized by a certain level or measure of humidity.
-
C.
wetnessLevel
chosen
Indicates the degree or intensity of how wet something is in relation to a reference state or scale.
-
D.
hasDrySeasonCause
Indicates that one factor or condition is the underlying cause of a location or region experiencing a dry season.
-
E.
dryingProperty
Indicates a relationship where an entity has the capacity or tendency to remove moisture from another entity or environment.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01a48fbbd481908ccf75551dcf4647 |
completed | May 11, 2026, 9:42 a.m. |
| PD | Predicate disambiguation | batch_6a01a2d6db208190b11c1af601a544f5 |
completed | May 11, 2026, 9:35 a.m. |
Created at: April 30, 2026, 11:42 p.m.