Triple
T18269290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN General Assembly resolution 60/124 |
E437565
|
entity |
| Predicate | concernsMechanism |
P84491
|
FINISHED |
| Object | UN humanitarian response system |
—
|
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: UN humanitarian response system | Statement: [UN General Assembly resolution 60/124, concernsMechanism, UN humanitarian response system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsMechanism Context triple: [UN General Assembly resolution 60/124, concernsMechanism, UN humanitarian response system]
-
A.
relatedMechanism
chosen
Indicates a causal or functional connection where one entity serves as the mechanism or process through which another entity’s effect, behavior, or outcome is brought about.
-
B.
mentionsMechanism
Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
-
C.
concernsFeature
Indicates that something is about, relates to, or involves a particular feature.
-
D.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
-
E.
concernsTheory
Indicates that something is about or relates specifically to a particular theory or set of theoretical concepts.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7c96b88190be8918ddd30f0665 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.