Triple
T23966108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Dying epidemic of 1616–1619 |
E604085
|
entity |
| Predicate | impactOnLandUse |
P69869
|
FINISHED |
| Object | left extensive areas of cleared farmland unused |
—
|
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: left extensive areas of cleared farmland unused | Statement: [Great Dying epidemic of 1616–1619, impactOnLandUse, left extensive areas of cleared farmland unused]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnLandUse Context triple: [Great Dying epidemic of 1616–1619, impactOnLandUse, left extensive areas of cleared farmland unused]
-
A.
landscapeImpact
Indicates how an action, project, or entity alters or affects the visual and physical character of a landscape.
-
B.
agriculturalImpact
chosen
Indicates the effect that an action, condition, or entity has on agricultural systems, productivity, or practices.
-
C.
landUseChangeTo
Indicates a transition in how a piece of land is used, from its previous use to a new designated use.
-
D.
humanImpact
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
E.
affectedLand
Indicates that a piece of land is impacted or influenced by a particular event, action, or condition.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1d7fbf88190820bcfbdc237c2a3 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:24 p.m.