Triple
T1702178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Sustainable Development Summit 2015 |
E36790
|
entity |
| Predicate | numberOfTargetsAdopted |
P9099
|
FINISHED |
| Object | 169 targets |
—
|
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: 169 targets | Statement: [United Nations Sustainable Development Summit 2015, numberOfTargetsAdopted, 169 targets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTargetsAdopted Context triple: [United Nations Sustainable Development Summit 2015, numberOfTargetsAdopted, 169 targets]
-
A.
numberOfTargets
chosen
Indicates the quantity of target entities associated with or affected by a given subject or event.
-
B.
numberOfTargetInstitutions
Indicates the count of institutions that are designated or identified as targets in a given context or dataset.
-
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.
numberOfIndicators
Indicates the total count of indicators associated with or relevant to a given entity or context.
-
E.
numberOfInvaders
Indicates the quantity of entities classified as invaders associated with a given subject or context.
- 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_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. |
Created at: March 4, 2026, 7:30 p.m.