Triple
T9153493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOs |
E219647
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | ccNSO |
E37214
|
NE 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: ccNSO | Statement: [SOs, hasMember, ccNSO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ccNSO Context triple: [SOs, hasMember, ccNSO]
-
A.
ccNSO
chosen
ccNSO is the ICANN supporting organization responsible for developing and recommending global policies relating to country-code top-level domains (ccTLDs).
-
B.
CNCS
CNCS is the abbreviation for the Corporation for National and Community Service, the U.S. federal agency that supports national service programs like AmeriCorps and Senior Corps.
-
C.
CNCS
CNCS is a French national museum dedicated to preserving and showcasing theatrical, opera, and ballet costumes and stage sets.
-
D.
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.
-
E.
nso
"nso" is the ISO 639-2 language code for Northern Sotho, a Bantu language spoken primarily in South Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96e323881909cbf4d6708f24f79 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04846544481909012f5c7fbbf3b0a |
completed | April 3, 2026, 11:07 p.m. |
Created at: March 30, 2026, 7:20 p.m.