Triple
T12439612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Side Gang |
E297234
|
entity |
| Predicate | primaryIncomeSource |
P24934
|
FINISHED |
| Object | illegal alcohol distribution |
—
|
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: illegal alcohol distribution | Statement: [North Side Gang, primaryIncomeSource, illegal alcohol distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryIncomeSource Context triple: [North Side Gang, primaryIncomeSource, illegal alcohol distribution]
-
A.
incomeType
chosen
Indicates the category or source classification of an entity’s income within a given context.
-
B.
primaryWork
Indicates that one work is the main or most significant work associated with a given entity, as opposed to other secondary or related works.
-
C.
majorRevenueSource
Indicates that one entity serves as the primary or dominant source of revenue for another entity.
-
D.
income
Indicates the amount of money an entity receives, typically over a specified period, from work, investments, or other sources.
-
E.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.