Triple
T27580234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italy national under-23 football team |
E699563
|
entity |
| Predicate | ageGroupSuccessor |
P82197
|
FINISHED |
| Object | Italy national under-21 football team |
—
|
NE NERFINISHED |
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: Italy national under-21 football team | Statement: [Italy national under-23 football team, ageGroupSuccessor, Italy national under-21 football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageGroupSuccessor Context triple: [Italy national under-23 football team, ageGroupSuccessor, Italy national under-21 football team]
-
A.
successorAgeCategoryChange
chosen
Indicates a change in age category that occurs for an entity’s successor, reflecting a transition from one age group classification to another.
-
B.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
C.
ageGroupSystem
Indicates a classification relationship where entities are grouped according to a defined system of age-based categories.
-
D.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
-
E.
ageType
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63015a6bc8190b4f47236dd4b6680 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:02 p.m.