Triple
T37015081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell, California |
E916053
|
entity |
| Predicate | corruptionScandalInvolved |
P29490
|
FINISHED |
| Object | excessive city official salaries |
—
|
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: excessive city official salaries | Statement: [Bell, California, corruptionScandalInvolved, excessive city official salaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corruptionScandalInvolved Context triple: [Bell, California, corruptionScandalInvolved, excessive city official salaries]
-
A.
associatedScandal
chosen
Indicates a relationship where an entity is linked to, involved in, or notably connected with a particular scandal.
-
B.
hasCorruptOfficials
Indicates that an entity possesses or is associated with officials who engage in corrupt or unethical behavior.
-
C.
courtCorruption
Indicates that a court or judicial body is involved in corrupt practices, such as bribery, bias, or abuse of legal authority.
-
D.
corruptionLevel
Indicates the degree or extent to which unethical, illegal, or dishonest practices are present or influential in a given context.
-
E.
disgracedFor
Indicates that an entity has lost honor, respect, or status specifically because of the associated reason, action, or circumstance.
- 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.