Triple
T19944239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Korean economy |
E479380
|
entity |
| Predicate | humanDevelopmentIssues |
P13201
|
FINISHED |
| Object | widespread poverty |
—
|
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: widespread poverty | Statement: [North Korean economy, humanDevelopmentIssues, widespread poverty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humanDevelopmentIssues Context triple: [North Korean economy, humanDevelopmentIssues, widespread poverty]
-
A.
socialIssue
chosen
Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
-
B.
humanRightsConcern
Indicates a situation, action, or condition that raises issues related to the recognition, protection, or violation of human rights.
-
C.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
D.
socialConcern
Indicates a relationship where an entity is concerned about, attentive to, or actively engaged with social issues, problems, or well-being.
-
E.
humanRightsSituation
Indicates the overall condition, treatment, and respect for individuals’ fundamental rights and freedoms within a given context or jurisdiction.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a64b2788190a49c4ed40aa93b98 |
completed | April 20, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.