Triple
T527773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada men's national ice hockey team |
E10959
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CAN
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.
|
E65719
|
NE FINISHED |
How this triple was built (4 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 men's national ice hockey team, abbreviation, CAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAN Context triple: [Canada men's national ice hockey team, abbreviation, CAN]
-
A.
CAC
The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
-
B.
CPC
CPC is the commonly used English abbreviation for the Chinese Communist Party, the founding and ruling political party of the People's Republic of China.
-
C.
ECU
ECU is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Ecuador in international standards and data systems.
-
D.
Cbus
Cbus is a common nickname for Columbus, the capital and largest city of Ohio.
-
E.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CAN Triple: [Canada men's national ice hockey team, abbreviation, CAN]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CAN Target entity description: 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.
-
A.
CAC
The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
-
B.
CPC
CPC is the commonly used English abbreviation for the Chinese Communist Party, the founding and ruling political party of the People's Republic of China.
-
C.
ECU
ECU is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Ecuador in international standards and data systems.
-
D.
Cbus
Cbus is a common nickname for Columbus, the capital and largest city of Ohio.
-
E.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
- F. None of above. chosen
Provenance (5 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b242a1d48190a0a7015d5fc82860 |
completed | March 1, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69a4b39f75048190a5f5f18756f75a81 |
completed | March 1, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4b42eb7d88190ab013625d75a093b |
completed | March 1, 2026, 9:48 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.