Triple
T26839721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigres de Quintana Roo |
E675743
|
entity |
| Predicate | wonMexicanLeagueChampionship |
P161529
|
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: [Tigres de Quintana Roo, wonMexicanLeagueChampionship, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonMexicanLeagueChampionship Context triple: [Tigres de Quintana Roo, wonMexicanLeagueChampionship, 2000]
-
A.
wonMexicanLeagueChampionship
chosen
Indicates that the subject achieved victory in the Mexican League championship competition.
-
B.
wonLigaMXTitleInSeason
Indicates that a team secured the Liga MX championship title in the specified season.
-
C.
wonMLS Cup
Indicates that the subject secured the championship title in Major League Soccer’s MLS Cup competition.
-
D.
numberOfLigaMXTitles
Indicates the total count of Liga MX championship titles an entity has won.
-
E.
CONCACAFChampionsCupTitles
Indicates the number of CONCACAF Champions Cup 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:07 a.m.