Triple
T35279265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Region |
E1018890
|
entity |
| Predicate | isOneOfPrincipalRegionsOfUSCensusBureau |
P182678
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [South Region, isOneOfPrincipalRegionsOfUSCensusBureau, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfPrincipalRegionsOfUSCensusBureau Context triple: [South Region, isOneOfPrincipalRegionsOfUSCensusBureau, true]
-
A.
inUSStateRegion
Indicates that one entity is located within, or belongs to, a specific region of a U.S. state.
-
B.
isInUnitedStatesMunicipalHierarchy
Indicates that one administrative or governmental unit occupies a specific level or position within the municipal hierarchy of the United States (e.g., city, town, county, or similar local jurisdiction).
-
C.
isInUSState
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
-
D.
isInStateCapitalRegionOf
Indicates that one entity is located within the capital region of the state to which the other entity belongs.
-
E.
memberStatesRegion
Indicates that a region is composed of, or includes, the specified member states as its constituent parts.
- F. None of above. chosen
Provenance (4 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.