Triple
T11194573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweden vs Mexico |
E264887
|
entity |
| Predicate | goalsScoredByMexico |
P9098
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Sweden vs Mexico, goalsScoredByMexico, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsScoredByMexico Context triple: [Sweden vs Mexico, goalsScoredByMexico, 0]
-
A.
numberOfCopaMexicoTitles
Indicates the number of Copa México titles that an entity has won.
-
B.
sharesUSMNTScoringRecordWith
Indicates that two individuals are tied for the same number of goals scored for the United States Men's National Soccer Team (USMNT), sharing a scoring record.
-
C.
MexicanObjective
Indicates that an entity has an objective, goal, or target specifically related to Mexico or Mexican affairs.
-
D.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
E.
statusInLigaMX
Indicates the competitive or organizational status that an entity holds within the Liga MX football league.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.