Triple
T11489027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barksdale Organization |
E272355
|
entity |
| Predicate | usesCorruption |
P54764
|
FINISHED |
| Object | police |
—
|
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: police | Statement: [Barksdale Organization, usesCorruption, police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCorruption Context triple: [Barksdale Organization, usesCorruption, police]
-
A.
corrupts
chosen
Indicates that one entity causes another entity, system, or process to become morally, functionally, or structurally degraded or impaired.
-
B.
corruptionLevel
Indicates the degree or extent to which unethical, illegal, or dishonest practices are present or influential in a given context.
-
C.
containsContaminant
Indicates that one entity includes, holds, or is tainted by an unwanted or harmful contaminating substance or element.
-
D.
hasRuin
Indicates that one entity possesses, contains, or is associated with a ruin or ruined structure.
-
E.
decayResistanceCause
Indicates that one factor or condition is the cause of another entity’s resistance to decay.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a20df608190992543b4d7006f8a |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.