Triple
T12692101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinds County government |
E303230
|
entity |
| Predicate | boardMemberTitle |
P1648
|
FINISHED |
| Object | County Supervisor |
—
|
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: County Supervisor | Statement: [Hinds County government, boardMemberTitle, County Supervisor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardMemberTitle Context triple: [Hinds County government, boardMemberTitle, County Supervisor]
-
A.
memberTitle
chosen
Indicates the formal title or designation held by a member within a group, organization, or body.
-
B.
boardMember
Indicates that a person serves on the governing board of an organization, participating in its oversight and decision-making.
-
C.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
D.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
E.
titleOrRole
Indicates that one entity serves as the title, position, or role held or described by another 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:22 p.m.