Triple
T4205809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish Kings |
E86179
|
entity |
| Predicate | profitSource |
P29046
|
FINISHED |
| Object | illegal weapons sales |
—
|
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 weapons sales | Statement: [Irish Kings, profitSource, illegal weapons sales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: profitSource Context triple: [Irish Kings, profitSource, illegal weapons sales]
-
A.
profitsFrom
chosen
Indicates that one entity gains financial or material benefit as a result of another entity’s actions, existence, or situation.
-
B.
revenueSources
Indicates the relationship identifying where an entity’s revenue comes from or the different streams that generate its income.
-
C.
majorRevenueSource
Indicates that one entity serves as the primary or dominant source of revenue for another entity.
-
D.
wealthSource
Indicates the relationship by which an entity obtains or derives its wealth from a particular source.
-
E.
gainedFrom
Indicates that something is obtained, acquired, or derived as a result of a specified source or cause.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03844314819092639ed7d6ef2c6e |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af0196716c81908b99193690630a29 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.