Triple
T6203107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant of Staffordshire |
E138682
|
entity |
| Predicate | nonPolitical |
P6897
|
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: [Lord Lieutenant of Staffordshire, nonPolitical, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonPolitical Context triple: [Lord Lieutenant of Staffordshire, nonPolitical, true]
-
A.
nonPartisan
chosen
Indicates that an entity is not affiliated with, influenced by, or acting on behalf of any political party or partisan interest.
-
B.
nonGovernmental
Indicates that an entity, action, or relationship is not associated with, controlled by, or part of a government or governmental body.
-
C.
nonVoting
Indicates that an entity participates in a group or organization without possessing the right to vote in its decisions.
-
D.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
-
E.
nonConstructive
Indicates that the relationship or action does not provide a direct, explicit method or example to realize or build the object, outcome, or proof it asserts exists.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626a32908190a3332008aee2e4a9 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.