Triple
T37685460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa América 2015 |
E938353
|
entity |
| Predicate | hadGroup |
P189124
|
FINISHED |
| Object | Group A |
—
|
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: Group A | Statement: [Copa América 2015, hadGroup, Group A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadGroup Context triple: [Copa América 2015, hadGroup, Group A]
-
A.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
-
B.
hasPostgroup
Indicates that one entity is associated with a subsequent group or grouping that follows it in order or structure.
-
C.
hadClass
Indicates that an entity attended or participated in a particular class or course.
-
D.
hasSocialGroup
Indicates that an entity belongs to, is associated with, or participates in a particular social group or community.
-
E.
hadOrganization
Indicates that an entity was affiliated with, employed by, or otherwise formally associated with a particular organization during some period of time.
- F. None of above. chosen
Provenance (4 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:18 p.m.