Triple
T101953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League |
E2057
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
AL
AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
|
E11014
|
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: AL | Statement: [American League, abbreviation, AL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AL Context triple: [American League, abbreviation, AL]
-
A.
AAL
AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
-
B.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
C.
ABC
ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
-
D.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
E.
AA
AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
- 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: AL Triple: [American League, abbreviation, AL]
Generated description
AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AL Target entity description: AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
-
A.
AAL
AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
-
B.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
C.
ABC
ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
-
D.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
E.
AA
AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256a8b6d0819083838a9708759407 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a275e644a48190aa2b8cb142b14394 |
completed | Feb. 28, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69a276cddee08190aab0959702d44f67 |
completed | Feb. 28, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a277b7aee8819085cb05afc213eaff |
completed | Feb. 28, 2026, 5:05 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.