Triple
T8695073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackland Prairie |
E206385
|
entity |
| Predicate | hasLandCoverChange |
P81240
|
FINISHED |
| Object | conversion of native prairie to cropland |
—
|
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: conversion of native prairie to cropland | Statement: [Blackland Prairie, hasLandCoverChange, conversion of native prairie to cropland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandCoverChange Context triple: [Blackland Prairie, hasLandCoverChange, conversion of native prairie to cropland]
-
A.
hasHistoricalLandCover
Indicates that an entity is associated with information about the land cover that existed in a specified area during a past time period.
-
B.
landUseChangeTo
chosen
Indicates a transition in how a piece of land is used, from its previous use to a new designated use.
-
C.
hasChangedOverTime
Indicates that the state, value, or characteristics of an entity or relationship have become different at some point across a period of time.
-
D.
hasLandCoverage
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
-
E.
wasExposedAsLandDuring
Indicates that a geographic area was land (not submerged by water) during a specified time period or event.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58284c58819091beb05a7d6b3a1b |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.