Triple
T1210332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States women's national under-20 soccer team |
E25983
|
entity |
| Predicate | nationalTeamLevel |
P5182
|
FINISHED |
| Object | youth |
—
|
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: youth | Statement: [United States women's national under-20 soccer team, nationalTeamLevel, youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalTeamLevel Context triple: [United States women's national under-20 soccer team, nationalTeamLevel, youth]
-
A.
nationalFootballTeam
Indicates that one entity is the official football (soccer) team representing the other entity at the national level.
-
B.
nationalTeamAppearances
Indicates the number of official matches in which an entity has represented its national team.
-
C.
teamLevel
chosen
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
D.
tierInNationalFootball
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
E.
NLTeamLeague
Indicates a relationship where a national league team competes in or is a member of a specific 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bde4670481908c16a3a8c1a54aad |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.