Triple
T27869893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITA |
E704462
|
entity |
| Predicate | representsAgeCategory |
P71516
|
FINISHED |
| Object | senior national team |
—
|
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: senior national team | Statement: [ITA, representsAgeCategory, senior national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsAgeCategory Context triple: [ITA, representsAgeCategory, senior national team]
-
A.
ageCategoryDefinition
Indicates the rule or criteria that define how ages are grouped into specific age categories.
-
B.
ageGroupIndicated
Indicates that a specific age range or category is identified or assigned to an entity.
-
C.
representsInJuniorCategory
Indicates that an entity serves as a representative or participant in a junior-level category within a given context or organization.
-
D.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
E.
representedAgeLevel
chosen
Indicates that one entity corresponds to, or is categorized under, a particular age level or 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 27, 2026, 6:23 p.m.