Triple
T29337240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti-Corruption Branch |
E743942
|
entity |
| Predicate | mayInvestigate |
P158202
|
FINISHED |
| Object | public sector corruption cases |
—
|
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: public sector corruption cases | Statement: [Anti-Corruption Branch, mayInvestigate, public sector corruption cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayInvestigate Context triple: [Anti-Corruption Branch, mayInvestigate, public sector corruption cases]
-
A.
areInvestigatedFor
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
-
B.
investigate
Indicates that one entity systematically examines, studies, or inquires into another entity or situation to uncover facts or gain understanding.
-
C.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
D.
investigatesIn
chosen
Indicates that an entity conducts an investigation or inquiry within, or focused on, a particular context, location, or domain.
-
E.
helpsInvestigate
Indicates that one entity assists another entity in carrying out an investigation or inquiry.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6692495f0819093b2d49db448ee42 |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 1:31 p.m.