Triple
T6847513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Salvador national football team |
E157933
|
entity |
| Predicate | regionalChampionshipAppearances |
P25988
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [El Salvador national football team, regionalChampionshipAppearances, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalChampionshipAppearances Context triple: [El Salvador national football team, regionalChampionshipAppearances, multiple]
-
A.
regionalCupAppearances
chosen
Indicates the number of times an entity has participated in a specified regional cup competition.
-
B.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
C.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
-
D.
conferenceChampionshipAppearancesThrough2023
Indicates the number of times an entity has appeared in conference championship games or series up to and including the 2023 season.
-
E.
associatedChampionshipCount
Indicates the number of championships that are linked or related to a given entity.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cd0e64819097c9c211df8bce54 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.