Triple
T3851146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Sarum (UK Parliament constituency) |
E85295
|
entity |
| Predicate | electoralCorruptionPerception |
P51943
|
FINISHED |
| Object | notoriously corrupt |
—
|
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: notoriously corrupt | Statement: [Old Sarum (UK Parliament constituency), electoralCorruptionPerception, notoriously corrupt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralCorruptionPerception Context triple: [Old Sarum (UK Parliament constituency), electoralCorruptionPerception, notoriously corrupt]
-
A.
legitimacyPerception
Indicates how legitimate or appropriate an entity, action, or authority is perceived to be by relevant observers or stakeholders.
-
B.
democracyIndexCategory
Indicates the qualitative category or tier into which an entity’s democracy index score is classified (e.g., full democracy, flawed democracy, hybrid regime, authoritarian).
-
C.
courtCorruptionLevel
Indicates the degree to which a court is affected by corrupt practices or improper influence in its decisions and operations.
-
D.
nationalReputation
Indicates the recognized standing or esteem an entity holds at the level of an entire nation.
-
E.
courtCorruption
Indicates that a court or judicial body is involved in corrupt practices, such as bribery, bias, or abuse of legal authority.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebd0feb081909cc1d5bf41e4acd6 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:19 p.m.