Triple
T293347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep South |
E6040
|
entity |
| Predicate | economicHistory |
P2313
|
FINISHED |
| Object | dependence on 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: dependence on agriculture | Statement: [Deep South, economicHistory, dependence on agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicHistory Context triple: [Deep South, economicHistory, dependence on agriculture]
-
A.
economicAspect
chosen
Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
-
B.
economicTransition
Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
-
C.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
-
D.
economicSystem
Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
-
E.
historicalImpact
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e934b4408190b53a17f57a02df65 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.