Triple
T3027156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CWC |
E82804
|
entity |
| Predicate | norm |
P22982
|
FINISHED |
| Object | stigmatization of chemical weapons use |
—
|
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: stigmatization of chemical weapons use | Statement: [CWC, norm, stigmatization of chemical weapons use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: norm Context triple: [CWC, norm, stigmatization of chemical weapons use]
-
A.
normIs
Indicates that something conforms to, or is characterized by, a particular standard, rule, or norm.
-
B.
normType
Indicates the specific category or classification of a norm that governs or constrains an entity or situation.
-
C.
hasNorm
chosen
Indicates that an entity is associated with, governed by, or characterized through a particular norm, rule, or standard.
-
D.
normativeFor
Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
-
E.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abd85348190aba9e40658697665 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.