Triple
T14074086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupert |
E338685
|
entity |
| Predicate | hasStateLevel |
P84299
|
FINISHED |
| Object | subject to the government of West Virginia |
—
|
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: subject to the government of West Virginia | Statement: [Rupert, hasStateLevel, subject to the government of West Virginia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStateLevel Context triple: [Rupert, hasStateLevel, subject to the government of West Virginia]
-
A.
hasStateOrDistrict
chosen
Indicates that an entity is associated with, located in, or belongs to a particular state or district.
-
B.
stateLevelStrength
Indicates the degree of power, capacity, or effectiveness that a state-level entity possesses in performing its functions or exerting influence.
-
C.
hasProvinceStatus
Indicates that an entity holds the administrative or political status of a province within a larger territorial or governmental system.
-
D.
hasMunicipalLevel
Indicates that an entity is associated with a specific level or tier within a municipal (local government) hierarchy.
-
E.
hasProvinceLevelUnit
Indicates that one administrative or territorial entity possesses or contains a sub-unit at the province (or equivalent) level.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.