Triple
T725473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USL Championship |
E14715
|
entity |
| Predicate | hasReserveTeams |
P10056
|
FINISHED |
| Object | some clubs operate reserve or affiliate teams |
—
|
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: some clubs operate reserve or affiliate teams | Statement: [USL Championship, hasReserveTeams, some clubs operate reserve or affiliate teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReserveTeams Context triple: [USL Championship, hasReserveTeams, some clubs operate reserve or affiliate teams]
-
A.
hasReserveTeam
chosen
Indicates that an organization, typically a sports club, maintains a secondary or backup team formally associated with its main team.
-
B.
hasIndependentTeams
Indicates that an entity possesses or is associated with teams that operate autonomously from other teams or central control.
-
C.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
-
D.
hasTeamStore
Indicates that an entity operates, is associated with, or provides access to a specific team-related retail store.
-
E.
hasFarmTeam
Indicates that one organization serves as a lower-level or affiliated team that develops players or resources for another organization.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a7fb7c819096db848fe2ba246a |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.