Triple
T37504723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris v. McRae |
E932062
|
entity |
| Predicate | hasRespondentOffice |
—
|
GENERATED |
| Object | Secretary of Health, Education, and Welfare |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRespondentOffice Context triple: [Harris v. McRae, hasRespondentOffice, Secretary of Health, Education, and Welfare]
-
A.
respondentOffice
chosen
Indicates the office or organizational unit that serves as the respondent in a given case, inquiry, or interaction.
-
B.
hasAssociatedOffice
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
C.
respondentStatus
Indicates the current role, condition, or state of a respondent in relation to a survey, inquiry, or legal/administrative process.
-
D.
hasProperOffice
Indicates that an entity maintains an officially designated, appropriate office or place of business.
-
E.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
- F. None of above.
Provenance (1 batch)
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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.