Triple
T13503168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlottetown Islanders |
E320942
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CHA
CHA is the standard abbreviation used for the Charlottetown Islanders, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League based in Charlottetown, Prince Edward Island.
|
E1044450
|
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: CHA | Statement: [Charlottetown Islanders, abbreviation, CHA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CHA Context triple: [Charlottetown Islanders, abbreviation, CHA]
-
A.
CHA
The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
-
B.
CHA
CHA is the standard abbreviation used for the Chattanooga Lookouts, a Minor League Baseball team based in Chattanooga, Tennessee.
-
C.
CHA
CHA is the vehicle registration code for the city of Cham in Germany.
-
D.
CHA
CHA is a collegiate ice hockey conference in the United States that organizes and governs competition among its member schools.
-
E.
CHAN
CHAN is the commonly used acronym for the African Nations Championship, a continental football tournament featuring national teams composed exclusively of players active in their domestic leagues.
- 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: CHA Triple: [Charlottetown Islanders, abbreviation, CHA]
Generated description
CHA is the standard abbreviation used for the Charlottetown Islanders, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League based in Charlottetown, Prince Edward Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CHA Target entity description: CHA is the standard abbreviation used for the Charlottetown Islanders, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League based in Charlottetown, Prince Edward Island.
-
A.
CHA
The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
-
B.
CHA
CHA is the standard abbreviation used for the Chattanooga Lookouts, a Minor League Baseball team based in Chattanooga, Tennessee.
-
C.
CHA
CHA is the vehicle registration code for the city of Cham in Germany.
-
D.
CHA
CHA is a collegiate ice hockey conference in the United States that organizes and governs competition among its member schools.
-
E.
CHAN
CHAN is the commonly used acronym for the African Nations Championship, a continental football tournament featuring national teams composed exclusively of players active in their domestic leagues.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75489e9908190b133937b5e92732d |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f7555173d08190be887e81c148192e |
completed | May 3, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75675df788190b4aa562fe0bc1d75 |
completed | May 3, 2026, 2:06 p.m. |
Created at: April 9, 2026, 9:43 p.m.