Triple
T16475490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sustainable Development Goal 8 |
E400175
|
entity |
| Predicate | target8.5Focus |
P860
|
FINISHED |
| Object | achieve full and productive employment for all women and men |
—
|
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: achieve full and productive employment for all women and men | Statement: [Sustainable Development Goal 8, target8.5Focus, achieve full and productive employment for all women and men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: target8.5Focus Context triple: [Sustainable Development Goal 8, target8.5Focus, achieve full and productive employment for all women and men]
-
A.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
B.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
C.
targetOfIntervention
Indicates that an entity is the object or focus upon which an intervention, treatment, or action is directed.
-
D.
targetWork
Indicates that one entity is the specific work (e.g., document, artwork, or project) that another entity is directed at, refers to, or is primarily concerned with.
-
E.
targetReduction
Indicates a relationship where one entity is intended or expected to decrease, diminish, or lessen another entity by a specified amount or proportion.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd43cf88190881a5cbc80da1490 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.