Triple
T22068127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Homestead Act of 1866 |
E545332
|
entity |
| Predicate | landAllotmentSize |
P19614
|
FINISHED |
| Object | up to 80 acres of public land |
—
|
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: up to 80 acres of public land | Statement: [Southern Homestead Act of 1866, landAllotmentSize, up to 80 acres of public land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landAllotmentSize Context triple: [Southern Homestead Act of 1866, landAllotmentSize, up to 80 acres of public land]
-
A.
acquiredLandArea
Indicates the total area of land that has been obtained or taken possession of through an acquisition.
-
B.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
-
C.
hasLandAllotmentDescribedIn
Indicates that an entity’s land allotment is specified or detailed in a particular document or description.
-
D.
areaHectares
Indicates the size or extent of something measured in hectares.
-
E.
hasNumberOfAcres
chosen
Indicates the specific quantity of land area, measured in acres, that is associated with an entity.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12885fe04819092cdde142f91e147 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.