Triple
T761503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Galaxy |
E16078
|
entity |
| Predicate | CONCACAF_Champions_Cup_winning_season |
P13592
|
FINISHED |
| Object | 2000 |
—
|
LITERAL 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: 2000 | Statement: [Los Angeles Galaxy, CONCACAF_Champions_Cup_winning_season, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CONCACAF_Champions_Cup_winning_season Context triple: [Los Angeles Galaxy, CONCACAF_Champions_Cup_winning_season, 2000]
-
A.
CONCACAFChampionsCupTitles
Indicates the number of CONCACAF Champions Cup titles an entity has won.
-
B.
CONCACAFChampionsCupYear
chosen
Indicates the specific year in which a given instance of the CONCACAF Champions Cup took place.
-
C.
awardsCONCACAFChampionsCupBerthTo
Indicates that a CONCACAF Champions Cup qualification spot is granted to a team or entity as a result of a specific competition, achievement, or allocation process.
-
D.
wonMLS Cup
Indicates that the subject secured the championship title in Major League Soccer’s MLS Cup competition.
-
E.
USOpenCupTitles
Indicates the number of U.S. Open Cup championship titles an entity has won.
- F. None of above.
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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a682e7d081909c9cd7839a49fb0b |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a5048a8081908d0542214142664a |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.