Triple
T5782229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homestead Act of 1862 |
E128185
|
entity |
| Predicate | approximateHomesteadsFiled |
P65807
|
FINISHED |
| Object | over 4 million claims |
—
|
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: over 4 million claims | Statement: [Homestead Act of 1862, approximateHomesteadsFiled, over 4 million claims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateHomesteadsFiled Context triple: [Homestead Act of 1862, approximateHomesteadsFiled, over 4 million claims]
-
A.
numberOfEstates
Indicates the total count of estates associated with a given entity or context.
-
B.
hasNumberOfAcres
Indicates the specific quantity of land area, measured in acres, that is associated with an entity.
-
C.
numberOfHousingUnits
Indicates the total count of distinct housing units associated with an entity or within a specified area.
-
D.
numberOfClassifiedEstates
Indicates the count of estates that have been formally classified or categorized in a given context.
-
E.
hasHousingUnits
Indicates that an entity possesses or contains a specified number or set of housing units.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a17315881908aa12a830ba5f22b |
completed | March 22, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:50 p.m.