Triple
T4517452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Big – Dr. Kananga |
E103185
|
entity |
| Predicate | smugglingMethod |
P57179
|
FINISHED |
| Object | using poppy fields in San Monique |
—
|
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: using poppy fields in San Monique | Statement: [Mr. Big – Dr. Kananga, smugglingMethod, using poppy fields in San Monique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smugglingMethod Context triple: [Mr. Big – Dr. Kananga, smugglingMethod, using poppy fields in San Monique]
-
A.
mobilizationMethod
Indicates the method or process by which resources, people, or assets are organized and activated for a particular purpose or operation.
-
B.
saltingMethod
Indicates the technique or process used to apply salt to something, such as food or materials.
-
C.
methodOfDisappearance
Indicates the specific way or process by which an entity ceases to be present, visible, or existent.
-
D.
submissionMethod
Indicates the means or channel through which something is submitted or delivered.
-
E.
attachmentMethod
Indicates the way or technique by which one entity is fastened, joined, or secured to another.
- F. None of above. chosen
Provenance (4 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd572933408190b67c4ef6a7babe75 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:02 p.m.