Triple
T1702177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Sustainable Development Summit 2015 |
E36790
|
entity |
| Predicate | numberOfGoalsAdopted |
P31323
|
FINISHED |
| Object | 17 Sustainable Development Goals |
—
|
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: 17 Sustainable Development Goals | Statement: [United Nations Sustainable Development Summit 2015, numberOfGoalsAdopted, 17 Sustainable Development Goals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGoalsAdopted Context triple: [United Nations Sustainable Development Summit 2015, numberOfGoalsAdopted, 17 Sustainable Development Goals]
-
A.
numberOfGoals
Indicates the total count of goals scored or achieved by an entity in a given context.
-
B.
adopts
Indicates that one entity formally takes another into its care, control, or use, assuming ongoing responsibility or ownership.
-
C.
adoptedBy
Indicates that an entity has been taken in and legally or formally accepted as a child, member, or responsibility by another entity.
-
D.
adoptedAs
Indicates that one entity has taken another into its family or care through a formal or recognized adoption process.
-
E.
laterGoal
Indicates that one goal occurs or is intended to be achieved after another goal in time.
- F. None of above. chosen
Provenance (4 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf16865488190a76577b36760dc7a |
completed | March 6, 2026, 3:23 p.m. |
Created at: March 4, 2026, 7:30 p.m.