Triple
T18925366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platform for Action |
E462958
|
entity |
| Predicate | criticalAreaOfConcern |
P19540
|
FINISHED |
| Object | women and 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: women and poverty | Statement: [Platform for Action, criticalAreaOfConcern, women and poverty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalAreaOfConcern Context triple: [Platform for Action, criticalAreaOfConcern, women and poverty]
-
A.
keyIssueArea
chosen
Indicates that something is a primary topic, domain, or field that is central or especially important within a broader context or discussion.
-
B.
criticality
Indicates the degree of importance, urgency, or potential impact associated with an entity, condition, or situation within a given context.
-
C.
hazardManagementConcern
Indicates a relationship where one entity is a source, subject, or focus of concern regarding the identification, assessment, or control of hazards by another entity.
-
D.
criticalInterpretation
Indicates that one entity offers an evaluative, analytical, or interpretive commentary on another (such as a text, work, or idea).
-
E.
criticalStrip
Indicates that something lies within the critical strip, the region of complex values whose real parts fall between 0 and 1.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b94e008190a0e9a70aaf6d18ed |
completed | April 20, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:59 a.m.