Triple
T21968154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA U-23 World Cup |
E542511
|
entity |
| Predicate | ageCategoryComparison |
P125146
|
FINISHED |
| Object | intended to sit between U-20 and senior national team competitions |
—
|
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: intended to sit between U-20 and senior national team competitions | Statement: [FIFA U-23 World Cup, ageCategoryComparison, intended to sit between U-20 and senior national team competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageCategoryComparison Context triple: [FIFA U-23 World Cup, ageCategoryComparison, intended to sit between U-20 and senior national team competitions]
-
A.
ageCategoryDefinition
Indicates the rule or criteria that define how ages are grouped into specific age categories.
-
B.
relativeAgeStatus
chosen
Indicates a comparative relationship specifying how the age of one entity relates to the age of another (e.g., older, younger, or same age).
-
C.
ageType
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
-
D.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
-
E.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245c5d148190af2a06190ba32feb |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:02 p.m.