Triple
T22268615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ONE |
E550415
|
entity |
| Predicate | targets |
P860
|
FINISHED |
| Object | G20 |
—
|
NE NERFINISHED |
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: G20 | Statement: [ONE, targets, G20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G20 Context triple: [ONE, targets, G20]
-
A.
G20
chosen
The G20 is an international forum of major advanced and emerging economies that meets to coordinate global economic policy, financial stability, and sustainable development.
-
B.
G7
G7 is an intergovernmental forum of seven major advanced economies that coordinates on global economic policy, security, and international issues.
-
C.
G7
G7 is the IATA airline designator assigned to GoJet Airlines, a U.S.-based regional carrier operating feeder services for major airlines.
-
D.
G20 Toronto summit
The G20 Toronto summit was a 2010 meeting of leaders from the world’s major economies focused on global financial stability and economic recovery, held in downtown Toronto amid significant security and public protests.
-
E.
G8
G8 is the IATA airline designator assigned to Go First, a low-cost carrier based in India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bde9f88190b533bcb88787b492 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.