Triple
T34901082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Feliciana Parish |
E1006588
|
entity |
| Predicate | hasCountyEquivalentStatusIn |
—
|
GENERATED |
| Object | United States Census Bureau |
—
|
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: hasCountyEquivalentStatusIn Context triple: [East Feliciana Parish, hasCountyEquivalentStatusIn, United States Census Bureau]
-
A.
hasCountyEquivalentStatus
chosen
Indicates that an entity holds an administrative or legal status equivalent to that of a county within a given jurisdiction.
-
B.
hasCountyTopStatus
Indicates that an entity holds the highest or most prominent status within a specific county.
-
C.
hasCountyCode
Indicates that an entity is associated with a specific county identified by a standardized county code.
-
D.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
-
E.
hasCountyAdministration
Indicates that an entity is governed, managed, or served by a specific county-level administrative authority.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.