Triple
T19388720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bullock County, Alabama |
E485003
|
entity |
| Predicate | isHistoricRegionFor |
P136261
|
FINISHED |
| Object | cotton farming |
—
|
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: cotton farming | Statement: [Bullock County, Alabama, isHistoricRegionFor, cotton farming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHistoricRegionFor Context triple: [Bullock County, Alabama, isHistoricRegionFor, cotton farming]
-
A.
isInHistoricRegion
Indicates that an entity is located within or belongs to a historically recognized geographic region.
-
B.
historicalRegionCorrespondsTo
Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
-
C.
hasHistoricRegionStyle
Indicates that an entity exhibits or is characterized by the architectural or cultural style associated with a particular historic region.
-
D.
isHistoric
Indicates that something has significant importance or relevance in history, often due to its age, impact, or role in past events.
-
E.
historicallyIncludedRegion
Indicates that one region was formerly part of, or contained within, another region during a past historical period.
- F. None of above. chosen
Provenance (4 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b425e848190ab5ae8ae0a034fe2 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e50213571881909cd7543a43b51986 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.