Triple
T19954540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNOSF |
E479648
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CNOSF |
—
|
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: CNOSF | Statement: [CNOSF, shortName, CNOSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNOSF Context triple: [CNOSF, shortName, CNOSF]
-
A.
CNOSF
chosen
CNOSF is the French National Olympic and Sports Committee, the governing body responsible for organizing France’s participation in the Olympic Games and promoting Olympic sports nationwide.
-
B.
CNOS
CNOS is the acronym for Moldova’s National Olympic Committee, the body responsible for organizing the country’s participation in the Olympic Games and promoting the Olympic movement nationally.
-
C.
CNOS
CNOS is the Tunisian National Olympic Committee responsible for organizing the country’s participation in the Olympic movement and overseeing Olympic sports federations.
-
D.
CNSF
CNSF is Mexico’s National Insurance and Bonding Commission, the government regulator overseeing the country’s insurance and surety sectors.
-
E.
CNCS
CNCS is a French national museum dedicated to preserving and showcasing theatrical, opera, and ballet costumes and stage sets.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aef16588190b3a40a3d49ef5080 |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.