Triple
T13805471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada sledge hockey national team |
E331749
|
entity |
| Predicate | homeCountryCode |
P1083
|
FINISHED |
| Object | CAN |
E65719
|
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: CAN | Statement: [Canada sledge hockey national team, homeCountryCode, CAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAN Context triple: [Canada sledge hockey national team, homeCountryCode, CAN]
-
A.
CAN
CAN is a South American regional integration organization that promotes economic and social cooperation among its member countries, including Bolivia, Colombia, Ecuador, and Peru.
-
B.
CAN
chosen
CAN is the standard international abbreviation for the Canada men's national ice hockey team, one of the most successful and historically dominant teams in world ice hockey.
-
C.
CAN
CAN is the FIFA country code for Canada, the North American nation whose teams and players participate in international soccer competitions.
-
D.
CAN
CAN is the three-letter IATA airport code for Guangzhou Baiyun International Airport, a major air transport hub in southern China.
-
E.
CAN
CAN is a prominent umbrella organization representing and coordinating various Christian denominations and churches across Nigeria.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026d98108190acf366a36d97bf92 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08db39c8190a76637b36b77d643 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.