Triple
T16479601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quezaltepeque |
E400279
|
entity |
| Predicate | hasSlopeLandUse |
P43475
|
FINISHED |
| Object | agriculture |
—
|
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: agriculture | Statement: [Quezaltepeque, hasSlopeLandUse, agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSlopeLandUse Context triple: [Quezaltepeque, hasSlopeLandUse, agriculture]
-
A.
hasSlopeFeature
Indicates that an entity possesses or is characterized by a particular slope-related property or feature.
-
B.
hasLandUseCharacter
chosen
Indicates that one entity possesses or is associated with a particular type or pattern of land use.
-
C.
hasForestedSlopes
Indicates that the subject has slopes that are covered predominantly with forest or woodland vegetation.
-
D.
isOnSlopeOf
Indicates that one entity is located on the inclined surface or side of another entity, typically a sloping terrain or structure.
-
E.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e01f6c88190b75a0d6c94786426 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.