Triple
T1712572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ccNSO |
E37214
|
entity |
| Predicate | policyOutput |
P32235
|
FINISHED |
| Object | policy recommendations to ICANN Board |
—
|
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: policy recommendations to ICANN Board | Statement: [ccNSO, policyOutput, policy recommendations to ICANN Board]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyOutput Context triple: [ccNSO, policyOutput, policy recommendations to ICANN Board]
-
A.
policyName
Indicates the specific name or title assigned to a policy associated with an entity.
-
B.
policyCharacteristic
Indicates that a policy possesses a particular attribute, feature, or quality that characterizes how it is defined or operates.
-
C.
policyTool
Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
-
D.
policyLevel
Indicates the degree or tier of strictness, scope, or priority associated with a given policy.
-
E.
policyImplication
Indicates that one policy, decision, or condition leads to, justifies, or necessitates another policy outcome or course of action.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab752034348190a1cc20955ed24f6f |
completed | March 7, 2026, 12:45 a.m. |
Created at: March 4, 2026, 7:30 p.m.