Triple
T994060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W3C Candidate Recommendation |
E21454
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CR |
E93079
|
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: CR | Statement: [W3C Candidate Recommendation, hasAbbreviation, CR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CR Context triple: [W3C Candidate Recommendation, hasAbbreviation, CR]
-
A.
CR
chosen
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
-
B.
CL
CL is the common abbreviation for Japan’s professional baseball Central League.
-
C.
CF
CF is a UK postcode area covering Cardiff and surrounding parts of South Wales, including the Vale of Glamorgan.
-
D.
CF
CF is the abbreviation for the Commonwealth Foundation, an intergovernmental organization that supports civil society and promotes democracy and development across the Commonwealth.
-
E.
CP
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c5e16881908cd5f7ba2fcd5084 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac25919bcc8190886f19405536681b |
completed | March 7, 2026, 1:18 p.m. |
Created at: March 1, 2026, 7:41 p.m.