Triple
T36014981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Lands Division |
E1041811
|
entity |
| Predicate | employees |
P36133
|
FINISHED |
| Object | state government employees of Alabama |
—
|
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: state government employees of Alabama | Statement: [State Lands Division, employees, state government employees of Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employees Context triple: [State Lands Division, employees, state government employees of Alabama]
-
A.
employedPeople
Indicates that there exists a relationship where people are currently working in jobs or positions, typically under an employer.
-
B.
employeeRight
Indicates that an employee holds a specific right, entitlement, or privilege within an employment or workplace context.
-
C.
hasEmployees
chosen
Indicates that one entity employs one or more other entities as its workers or staff.
-
D.
personnel
Indicates that an entity serves as staff or workforce associated with another entity, such as an organization, project, or facility.
-
E.
employment
Indicates a relationship where one entity hires, contracts, or otherwise engages another to perform work or services, typically in exchange for compensation.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:07 p.m.