Triple
T18906776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas Department of Administration |
E462482
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Division of Personnel Services |
—
|
NE NERFINISHED |
How this triple was built (3 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: Division of Personnel Services | Statement: [Kansas Department of Administration, hasDivision, Division of Personnel Services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Division of Personnel Services Context triple: [Kansas Department of Administration, hasDivision, Division of Personnel Services]
-
A.
Department of Personnel
The Department of Personnel is a government agency in Taiwan responsible for managing civil service human resources, including recruitment, appointments, evaluations, and related personnel policies.
-
B.
Division of Human Resources
The Division of Human Resources is the unit within the Indiana Department of Natural Resources responsible for managing personnel, staffing, and employee services for the agency.
-
C.
Human Resources Division
The Human Resources Division is the unit within the Oregon Judicial Department responsible for managing personnel policies, staffing, employee relations, and related workforce services for the state court system.
-
D.
Human Resources Division
The Human Resources Division is the department within the San Francisco Municipal Transportation Agency responsible for managing employee recruitment, development, labor relations, and personnel policies.
-
E.
Human Resources Division
The Human Resources Division is the unit within the Georgia Department of Corrections responsible for managing personnel, staffing, employee relations, and related workforce services for the agency.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Division of Personnel Services Target entity description: The Division of Personnel Services is a unit within the Kansas state government responsible for managing human resources policies, staffing, and employee services for state agencies.
-
A.
Department of Personnel
The Department of Personnel is a government agency in Taiwan responsible for managing civil service human resources, including recruitment, appointments, evaluations, and related personnel policies.
-
B.
Division of Human Resources
The Division of Human Resources is the unit within the Indiana Department of Natural Resources responsible for managing personnel, staffing, and employee services for the agency.
-
C.
Human Resources Division
The Human Resources Division is the unit within the Oregon Judicial Department responsible for managing personnel policies, staffing, employee relations, and related workforce services for the state court system.
-
D.
Human Resources Division
The Human Resources Division is the department within the San Francisco Municipal Transportation Agency responsible for managing employee recruitment, development, labor relations, and personnel policies.
-
E.
Human Resources Division
The Human Resources Division is the unit within the Georgia Department of Corrections responsible for managing personnel, staffing, employee relations, and related workforce services for the agency.
- F. None of above. chosen
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52dcb948190a5b6a783512bf7d6 |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.