Triple
T36479646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ireland under-20 rugby union team |
E898773
|
entity |
| Predicate | representsInAgeGrade |
P71516
|
FINISHED |
| Object | under-20 international rugby 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: under-20 international rugby competitions | Statement: [Ireland under-20 rugby union team, representsInAgeGrade, under-20 international rugby competitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInAgeGrade Context triple: [Ireland under-20 rugby union team, representsInAgeGrade, under-20 international rugby competitions]
-
A.
representedAgeLevel
chosen
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
-
B.
hasAgeClassification
Indicates that an entity is associated with a specific age-based category or grouping.
-
C.
representsInJuniorCategory
Indicates that an entity serves as a representative or participant in a junior-level category within a given context or organization.
-
D.
intendedForAgeGroup
Indicates that something is designed, suitable, or targeted for use by a specific age group.
-
E.
eligibilityGradeLevel
Indicates the grade level or range of grade levels for which an entity is considered eligible or appropriate.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:10 p.m.