Triple
T17478632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protocol to Prevent, Suppress and Punish Trafficking in Persons, Especially Women and Children |
E425600
|
entity |
| Predicate | relatedInstrument |
P7726
|
FINISHED |
| Object | Protocol against the Illicit Manufacturing of and Trafficking in Firearms, Their Parts and Components and Ammunition |
—
|
NE NERFINISHED |
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: Protocol against the Illicit Manufacturing of and Trafficking in Firearms, Their Parts and Components and Ammunition | Statement: [Protocol to Prevent, Suppress and Punish Trafficking in Persons, Especially Women and Children, relatedInstrument, Protocol against the Illicit Manufacturing of and Trafficking in Firearms, Their Parts and Components and Ammunition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Protocol against the Illicit Manufacturing of and Trafficking in Firearms, Their Parts and Components and Ammunition Context triple: [Protocol to Prevent, Suppress and Punish Trafficking in Persons, Especially Women and Children, relatedInstrument, Protocol against the Illicit Manufacturing of and Trafficking in Firearms, Their Parts and Components and Ammunition]
-
A.
Protocol against the Illicit Manufacturing of and Trafficking in Firearms, Their Parts and Components and Ammunition
chosen
The Protocol against the Illicit Manufacturing of and Trafficking in Firearms, Their Parts and Components and Ammunition is an international legal instrument that supplements the UN Convention against Transnational Organized Crime by establishing measures to prevent, combat, and trace illegal firearms and related materials.
-
B.
Inter-American Convention against the Illicit Manufacturing of and Trafficking in Firearms, Ammunition, Explosives, and Other Related Materials
The Inter-American Convention against the Illicit Manufacturing of and Trafficking in Firearms, Ammunition, Explosives, and Other Related Materials is a regional treaty among Organization of American States members aimed at preventing, combating, and eradicating illegal arms production and trade through common standards and cooperation.
-
C.
International Traffic in Arms Regulations
The International Traffic in Arms Regulations (ITAR) are a set of U.S. government rules that control the export and import of defense-related articles, services, and technical data to safeguard national security and foreign policy interests.
-
D.
Arms Trade Treaty
The Arms Trade Treaty is a multilateral agreement that regulates the international trade in conventional arms to prevent and eradicate illicit transfers and reduce human suffering.
-
E.
Inter-American Convention on Transparency in Conventional Weapons Acquisitions
The Inter-American Convention on Transparency in Conventional Weapons Acquisitions is a regional arms control agreement among Organization of American States members that promotes confidence-building and security by requiring the disclosure of conventional weapons purchases and transfers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451be5fd08190aeaa12b3a6d6c6d4 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.