Triple
T7298298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocaine |
E167778
|
entity |
| Predicate | legalStatusUN |
P1049
|
FINISHED |
| Object | controlled under UN Single Convention on Narcotic Drugs |
—
|
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: controlled under UN Single Convention on Narcotic Drugs | Statement: [Cocaine, legalStatusUN, controlled under UN Single Convention on Narcotic Drugs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusUN Context triple: [Cocaine, legalStatusUN, controlled under UN Single Convention on Narcotic Drugs]
-
A.
internationalOrganizationStatus
Indicates that an entity holds a recognized status or role within an international organization.
-
B.
hasUNStatus
chosen
Indicates that an entity holds a particular formal status or recognition within the United Nations system.
-
C.
recognizedByUNAsPartOf
Indicates that an entity is officially acknowledged or accepted by the United Nations as belonging to, or constituting a component of, another specified entity or grouping.
-
D.
UNMemberState
Indicates that a country is a recognized member state of the United Nations.
-
E.
statusOfUnion
Indicates the current legal or formal state of a union or partnership between entities.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8f83c881909e8eae85410f9659 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.