Triple
T18860566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 World Artistic Gymnastics Championships |
E461300
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | FIG |
—
|
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: FIG | Statement: [2014 World Artistic Gymnastics Championships, abbreviation, FIG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIG Context triple: [2014 World Artistic Gymnastics Championships, abbreviation, FIG]
-
A.
FIG
FIG is the former New York Stock Exchange ticker symbol for Fortress Investment Group, a global investment management firm.
-
B.
FIG
FIG is a renowned international hot air balloon festival held annually in León, Mexico, attracting pilots and visitors from around the world.
-
C.
FIG
chosen
FIG is the commonly used abbreviation for the International Gymnastics Federation, the global governing body for the sport of gymnastics.
-
D.
FI
FI is the stock ticker symbol for Fiserv, Inc., a major U.S.-based financial technology and payments processing company.
-
E.
FI
FI is the vehicle registration code used for the Italian city and province of Florence.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c060bfc4819092ac591692a6ccd5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.