Triple
T33303257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surveyor General of Arkansas Territory |
E852641
|
entity |
| Predicate | officePurpose |
P199914
|
FINISHED |
| Object | organize public lands for sale and settlement |
—
|
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: organize public lands for sale and settlement | Statement: [Surveyor General of Arkansas Territory, officePurpose, organize public lands for sale and settlement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officePurpose Context triple: [Surveyor General of Arkansas Territory, officePurpose, organize public lands for sale and settlement]
-
A.
officeCategory
Indicates the classification or type of an office within a defined categorization scheme.
-
B.
businessPurpose
Indicates that one entity serves as the commercial or organizational objective, rationale, or intended use for another entity.
-
C.
officeIs
Indicates that one entity serves as the office or official workplace location of another entity.
-
D.
officeIn
Indicates that one entity has an office located within the premises or jurisdiction of another entity.
-
E.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
- 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
| PDg | Predicate description generation | batch_69ff63e5c35081908f69ac44e12b8f52 |
completed | May 9, 2026, 4:42 p.m. |
Created at: May 1, 2026, 1:33 a.m.