Triple
T22661747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panama national under-20 football team |
E559681
|
entity |
| Predicate | representsInAgeCategory |
P71516
|
FINISHED |
| Object | Panama under-20 level |
—
|
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: Panama under-20 level | Statement: [Panama national under-20 football team, representsInAgeCategory, Panama under-20 level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInAgeCategory Context triple: [Panama national under-20 football team, representsInAgeCategory, Panama under-20 level]
-
A.
representsInJuniorCategory
Indicates that an entity serves as a representative or participant in a junior-level category within a given context or organization.
-
B.
ageGroupIndicated
Indicates that a specific age range or category is identified or assigned to an entity.
-
C.
representedAgeLevel
chosen
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
-
D.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
E.
intendedForAgeGroup
Indicates that something is designed, suitable, or targeted for use by a specific age group.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765fe7d081908087778c54c1e612 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.