Triple
T26398168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAM |
E663627
|
entity |
| Predicate | teamLevelRepresented |
P24551
|
FINISHED |
| Object | under-20 |
—
|
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: under-20 | Statement: [SAM, teamLevelRepresented, under-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamLevelRepresented Context triple: [SAM, teamLevelRepresented, under-20]
-
A.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
B.
countryLeagueRepresents
Indicates that a particular league serves as the official representative or embodiment of a country in a given sport or competitive context.
-
C.
teamsRepresented
Indicates the relationship between an individual and the sports teams or organizations they have represented or played for.
-
D.
associatedLeagueLevel
Indicates that one entity is linked to another entity representing the competitive tier or level of a sports league.
-
E.
representsSportLevel
chosen
Indicates that an entity participates in or is associated with a particular level or tier within a sport.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610f1f6508190a1540b6a7d3568f9 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:30 p.m.