Triple
T35968790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uniontown, Alabama |
E1040218
|
entity |
| Predicate | postCivilWarDevelopment |
P160765
|
FINISHED |
| Object | growth as an agricultural community |
—
|
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: growth as an agricultural community | Statement: [Uniontown, Alabama, postCivilWarDevelopment, growth as an agricultural community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postCivilWarDevelopment Context triple: [Uniontown, Alabama, postCivilWarDevelopment, growth as an agricultural community]
-
A.
civilWarPeriod
Indicates a time span during which a civil war is occurring or in effect.
-
B.
functionAfterCivilWar
Indicates that one entity serves or operates in a particular function, role, or capacity following the end of a civil war.
-
C.
preCivilWarOccupation
Indicates the occupation or role a person held before the outbreak of the Civil War.
-
D.
hasCivilWarAssociation
Indicates a relationship in which an entity is connected or related to a civil war, such as through involvement, impact, or relevance.
-
E.
postWarHistory
chosen
Indicates a relationship where something concerns, describes, or belongs to the historical period and events following a specific war.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.