Triple
T6295149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations political commitments on TB |
E141111
|
entity |
| Predicate | relatedToSDG |
P37
|
FINISHED |
| Object | SDG 3.3 |
—
|
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: SDG 3.3 | Statement: [United Nations political commitments on TB, relatedToSDG, SDG 3.3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToSDG Context triple: [United Nations political commitments on TB, relatedToSDG, SDG 3.3]
-
A.
hasSDGNumber
Indicates that an entity is associated with, or corresponds to, a specific Sustainable Development Goal (SDG) number.
-
B.
sustainabilityFocus
Indicates a relationship where an entity prioritizes or emphasizes environmental, social, or long-term resource sustainability in its actions, policies, or strategies.
-
C.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
D.
relatedMission
Indicates that one mission is connected or associated with another mission in a meaningful way, such as by shared goals, context, participants, or timeline.
-
E.
socialConcern
Indicates a relationship where an entity is concerned about, attentive to, or actively engaged with social issues, problems, or well-being.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06439a6908190b0a8ebf426d3ca02 |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:27 p.m.