Triple
T24707840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Copa América |
E611945
|
entity |
| Predicate | numberOfInvitedTeams |
P24878
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [2019 Copa América, numberOfInvitedTeams, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInvitedTeams Context triple: [2019 Copa América, numberOfInvitedTeams, 2]
-
A.
includesInvitedTeams
chosen
Indicates that certain teams are explicitly included as invited participants in an event, activity, or context.
-
B.
hasInvitedClubsFrom
Indicates that a party has extended invitations to clubs originating from a specified source or location.
-
C.
qualifiedTeamsCount
Indicates the number of teams that have successfully met the criteria to qualify for a given stage, event, or competition.
-
D.
numberOfTeamsLater
Indicates that one entity has a greater number of teams than another entity at a later point in time.
-
E.
numberOfNewTeams
Indicates the quantity of teams that are newly formed or added within a specified context or time frame.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 3:24 a.m.