Triple
T4077028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOFI |
E87387
|
entity |
| Predicate | hasIndicator |
P19514
|
FINISHED |
| Object | Prevalence of undernourishment |
—
|
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: Prevalence of undernourishment | Statement: [SOFI, hasIndicator, Prevalence of undernourishment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndicator Context triple: [SOFI, hasIndicator, Prevalence of undernourishment]
-
A.
hasIndication
Indicates that one entity (typically a product, treatment, or intervention) is intended, approved, or suitable for use in addressing, preventing, or managing a particular condition, purpose, or circumstance.
-
B.
hasIndicatorDimension
Indicates that an indicator is associated with a specific dimension or aspect along which it is measured or evaluated.
-
C.
usesIndicator
chosen
Indicates that one entity employs or relies on another entity as an indicator, signal, or metric for assessment, decision-making, or interpretation.
-
D.
hasVisualIndicator
Indicates that an entity is associated with some form of visual cue or marker that signals its status, condition, or presence.
-
E.
indicatorType
Indicates the specific kind or category of indicator associated with an entity or relationship.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc4d348c8190a94724639830aca0 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.